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Mesure de l'utilisation

L’API de mesure de l’utilisation vous permet de récupérer des informations sur l’utilisation horaire, journalière et mensuelle de nombreuses facettes de Datadog. Tous les clients Pro et Enterprise peuvent utiliser cette API. Seules les organisations de niveau parent peuvent l’utiliser.

Remarque : les données d’utilisation peuvent accuser d’un retard de 72 heures après leur collecte. Elles sont conservées pendant 15 mois.

Vous pouvez récupérer jusqu’à 24 heures de données d’utilisation horaire pour plusieurs organisations et jusqu’à deux mois de données d’utilisation horaire pour une seule organisation via une seule requête.

Get hourly usage by product family

GET https://api.ap1.datadoghq.com/api/v2/usage/hourly_usagehttps://api.datadoghq.eu/api/v2/usage/hourly_usagehttps://api.ddog-gov.com/api/v2/usage/hourly_usagehttps://api.datadoghq.com/api/v2/usage/hourly_usagehttps://api.us3.datadoghq.com/api/v2/usage/hourly_usagehttps://api.us5.datadoghq.com/api/v2/usage/hourly_usage

Présentation

Get hourly usage by product family. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

filter[timestamp][start] [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

filter[timestamp][end]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

filter[product_families] [required]

string

Comma separated list of product families to retrieve. Available families are all, analyzed_logs, application_security, audit_trail, serverless, ci_app, cloud_cost_management, csm_container_enterprise, csm_host_enterprise, cspm, custom_events, cws, dbm, error_tracking, fargate, infra_hosts, incident_management, indexed_logs, indexed_spans, ingested_spans, iot, lambda_traced_invocations, logs, network_flows, network_hosts, netflow_monitoring, observability_pipelines, online_archive, profiling, rum, rum_browser_sessions, rum_mobile_sessions, sds, snmp, synthetics_api, synthetics_browser, synthetics_mobile, synthetics_parallel_testing, and timeseries. The following product family has been deprecated: audit_logs.

filter[include_descendants]

boolean

Include child org usage in the response. Defaults to false.

filter[include_breakdown]

boolean

Include breakdown of usage by subcategories where applicable (for product family logs only). Defaults to false.

filter[versions]

string

Comma separated list of product family versions to use in the format product_family:version. For example, infra_hosts:1.0.0. If this parameter is not used, the API will use the latest version of each requested product family. Currently all families have one version 1.0.0.

page[limit]

integer

Maximum number of results to return (between 1 and 500) - defaults to 500 if limit not specified.

page[next_record_id]

string

List following results with a next_record_id provided in the previous query.

Réponse

OK

Hourly usage response.

Expand All

Champ

Type

Description

data

[object]

Response containing hourly usage.

attributes

object

Attributes of hourly usage for a product family for an org for a time period.

measurements

[object]

List of the measured usage values for the product family for the org for the time period.

usage_type

string

Type of usage.

value

int64

Contains the number measured for the given usage_type during the hour.

org_name

string

The organization name.

product_family

string

The product for which usage is being reported.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

timestamp

date-time

Datetime in ISO-8601 format, UTC. The hour for the usage.

id

string

Unique ID of the response.

type

enum

Type of usage data. Allowed enum values: usage_timeseries

default: usage_timeseries

meta

object

The object containing document metadata.

pagination

object

The metadata for the current pagination.

next_record_id

string

The cursor to get the next results (if any). To make the next request, use the same parameters and add next_record_id.

{
  "data": [
    {
      "attributes": {
        "measurements": [
          {
            "usage_type": "string",
            "value": "integer"
          }
        ],
        "org_name": "string",
        "product_family": "string",
        "public_id": "string",
        "region": "string",
        "timestamp": "2019-09-19T10:00:00.000Z"
      },
      "id": "string",
      "type": "usage_timeseries"
    }
  ],
  "meta": {
    "pagination": {
      "next_record_id": "string"
    }
  }
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export filter[timestamp][start]="CHANGE_ME"
export filter[product_families]="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/hourly_usage?filter[timestamp][start]=${filter[timestamp][start]}&filter[product_families]=${filter[product_families]}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage by product family returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_hourly_usage(
        filter_timestamp_start=(datetime.now() + relativedelta(days=-3)),
        filter_product_families="infra_hosts",
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage by product family returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
p api_instance.get_hourly_usage((Time.now + -3 * 86400), "infra_hosts")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage by product family returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetHourlyUsage(ctx, time.Now().AddDate(0, 0, -3), "infra_hosts", *datadogV2.NewGetHourlyUsageOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetHourlyUsage`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetHourlyUsage`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage by product family returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.model.HourlyUsageResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      HourlyUsageResponse result =
          apiInstance.getHourlyUsage(OffsetDateTime.now().plusDays(-3), "infra_hosts");
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getHourlyUsage");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage by product family returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetHourlyUsageRequest = {
  filterTimestampStart: new Date(new Date().getTime() + -3 * 86400 * 1000),
  filterProductFamilies: "infra_hosts",
};

apiInstance
  .getHourlyUsage(params)
  .then((data: v2.HourlyUsageResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage attribution

GET https://api.ap1.datadoghq.com/api/v1/usage/hourly-attributionhttps://api.datadoghq.eu/api/v1/usage/hourly-attributionhttps://api.ddog-gov.com/api/v1/usage/hourly-attributionhttps://api.datadoghq.com/api/v1/usage/hourly-attributionhttps://api.us3.datadoghq.com/api/v1/usage/hourly-attributionhttps://api.us5.datadoghq.com/api/v1/usage/hourly-attribution

Présentation

Get hourly usage attribution. Multi-region data is available starting March 1, 2023.

This API endpoint is paginated. To make sure you receive all records, check if the value of next_record_id is set in the response. If it is, make another request and pass next_record_id as a parameter. Pseudo code example:

response := GetHourlyUsageAttribution(start_month)
cursor := response.metadata.pagination.next_record_id
WHILE cursor != null BEGIN
  sleep(5 seconds)  # Avoid running into rate limit
  response := GetHourlyUsageAttribution(start_month, next_record_id=cursor)
  cursor := response.metadata.pagination.next_record_id
END
This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

usage_type [required]

enum

Usage type to retrieve.
Allowed enum values: api_usage, apm_fargate_usage, apm_host_usage, apm_usm_usage, appsec_fargate_usage, appsec_usage, asm_serverless_traced_invocations_usage, asm_serverless_traced_invocations_percentage, browser_usage, ci_pipeline_indexed_spans_usage, ci_test_indexed_spans_usage, ci_visibility_itr_usage, cloud_siem_usage, container_excl_agent_usage, container_usage, cspm_containers_usage, cspm_hosts_usage, custom_event_usage, custom_ingested_timeseries_usage, custom_timeseries_usage, cws_containers_usage, cws_hosts_usage, dbm_hosts_usage, dbm_queries_usage, error_tracking_usage, error_tracking_percentage, estimated_indexed_logs_usage, estimated_indexed_spans_usage, estimated_ingested_logs_usage, estimated_ingested_spans_usage, estimated_rum_sessions_usage, fargate_usage, functions_usage, incident_management_monthly_active_users_usage, indexed_spans_usage, infra_host_usage, ingested_logs_bytes_usage, ingested_spans_bytes_usage, invocations_usage, lambda_traced_invocations_usage, logs_indexed_15day_usage, logs_indexed_180day_usage, logs_indexed_1day_usage, logs_indexed_30day_usage, logs_indexed_360day_usage, logs_indexed_3day_usage, logs_indexed_45day_usage, logs_indexed_60day_usage, logs_indexed_7day_usage, logs_indexed_90day_usage, logs_indexed_custom_retention_usage, mobile_app_testing_usage, ndm_netflow_usage, npm_host_usage, obs_pipeline_bytes_usage, obs_pipelines_vcpu_usage, online_archive_usage, profiled_container_usage, profiled_fargate_usage, profiled_host_usage, rum_browser_mobile_sessions_usage, rum_replay_sessions_usage, sds_scanned_bytes_usage, serverless_apps_usage, siem_ingested_bytes_usage, snmp_usage, universal_service_monitoring_usage, vuln_management_hosts_usage, workflow_executions_usage

next_record_id

string

List following results with a next_record_id provided in the previous query.

tag_breakdown_keys

string

Comma separated list of tags used to group usage. If no value is provided the usage will not be broken down by tags.

To see which tags are available, look for the value of tag_config_source in the API response.

include_descendants

boolean

Include child org usage in the response. Defaults to true.

Réponse

OK

Response containing the hourly usage attribution by tag(s).

Expand All

Champ

Type

Description

metadata

object

The object containing document metadata.

pagination

object

The metadata for the current pagination.

next_record_id

string

The cursor to get the next results (if any). To make the next request, use the same parameters and add next_record_id.

usage

[object]

Get the hourly usage attribution by tag(s).

hour

date-time

The hour for the usage.

org_name

string

The name of the organization.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

tag_config_source

string

The source of the usage attribution tag configuration and the selected tags in the format of <source_org_name>:::<selected tag 1>///<selected tag 2>///<selected tag 3>.

tags

object

Tag keys and values.

A null value here means that the requested tag breakdown cannot be applied because it does not match the tags configured for usage attribution. In this scenario the API returns the total usage, not broken down by tags.

<any-key>

[string]

A list of values that are associated with each tag key.

  • An empty list means the resource use wasn't tagged with the respective tag.
  • Multiple values means the respective tag was applied multiple times on the resource.
  • An <empty> value means the resource was tagged with the respective tag but did not have a value.

total_usage_sum

double

Total product usage for the given tags within the hour.

updated_at

string

Shows the most recent hour in the current month for all organizations where usages are calculated.

usage_type

enum

Supported products for hourly usage attribution requests. Allowed enum values: api_usage,apm_fargate_usage,apm_host_usage,apm_usm_usage,appsec_fargate_usage,appsec_usage,asm_serverless_traced_invocations_usage,asm_serverless_traced_invocations_percentage,browser_usage,ci_pipeline_indexed_spans_usage,ci_test_indexed_spans_usage,ci_visibility_itr_usage,cloud_siem_usage,container_excl_agent_usage,container_usage,cspm_containers_usage,cspm_hosts_usage,custom_event_usage,custom_ingested_timeseries_usage,custom_timeseries_usage,cws_containers_usage,cws_hosts_usage,dbm_hosts_usage,dbm_queries_usage,error_tracking_usage,error_tracking_percentage,estimated_indexed_logs_usage,estimated_indexed_spans_usage,estimated_ingested_logs_usage,estimated_ingested_spans_usage,estimated_rum_sessions_usage,fargate_usage,functions_usage,incident_management_monthly_active_users_usage,indexed_spans_usage,infra_host_usage,ingested_logs_bytes_usage,ingested_spans_bytes_usage,invocations_usage,lambda_traced_invocations_usage,logs_indexed_15day_usage,logs_indexed_180day_usage,logs_indexed_1day_usage,logs_indexed_30day_usage,logs_indexed_360day_usage,logs_indexed_3day_usage,logs_indexed_45day_usage,logs_indexed_60day_usage,logs_indexed_7day_usage,logs_indexed_90day_usage,logs_indexed_custom_retention_usage,mobile_app_testing_usage,ndm_netflow_usage,npm_host_usage,obs_pipeline_bytes_usage,obs_pipelines_vcpu_usage,online_archive_usage,profiled_container_usage,profiled_fargate_usage,profiled_host_usage,rum_browser_mobile_sessions_usage,rum_replay_sessions_usage,sds_scanned_bytes_usage,serverless_apps_usage,siem_ingested_bytes_usage,snmp_usage,universal_service_monitoring_usage,vuln_management_hosts_usage,workflow_executions_usage

{
  "metadata": {
    "pagination": {
      "next_record_id": "string"
    }
  },
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string",
      "region": "string",
      "tag_config_source": "string",
      "tags": {
        "<any-key>": [
          "datadog-integrations-lab"
        ]
      },
      "total_usage_sum": "number",
      "updated_at": "string",
      "usage_type": "string"
    }
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
export usage_type="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/hourly-attribution?start_hr=${start_hr}&usage_type=${usage_type}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage attribution returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datadog_api_client.v1.model.hourly_usage_attribution_usage_type import HourlyUsageAttributionUsageType

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_hourly_usage_attribution(
        start_hr=(datetime.now() + relativedelta(days=-3)),
        usage_type=HourlyUsageAttributionUsageType.INFRA_HOST_USAGE,
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage attribution returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_hourly_usage_attribution((Time.now + -3 * 86400), HourlyUsageAttributionUsageType::INFRA_HOST_USAGE)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage attribution returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetHourlyUsageAttribution(ctx, time.Now().AddDate(0, 0, -3), datadogV1.HOURLYUSAGEATTRIBUTIONUSAGETYPE_INFRA_HOST_USAGE, *datadogV1.NewGetHourlyUsageAttributionOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetHourlyUsageAttribution`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetHourlyUsageAttribution`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage attribution returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.HourlyUsageAttributionResponse;
import com.datadog.api.client.v1.model.HourlyUsageAttributionUsageType;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      HourlyUsageAttributionResponse result =
          apiInstance.getHourlyUsageAttribution(
              OffsetDateTime.now().plusDays(-3), HourlyUsageAttributionUsageType.INFRA_HOST_USAGE);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getHourlyUsageAttribution");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage attribution returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetHourlyUsageAttributionRequest = {
  startHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
  usageType: "infra_host_usage",
};

apiInstance
  .getHourlyUsageAttribution(params)
  .then((data: v1.HourlyUsageAttributionResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get monthly usage attribution

GET https://api.ap1.datadoghq.com/api/v1/usage/monthly-attributionhttps://api.datadoghq.eu/api/v1/usage/monthly-attributionhttps://api.ddog-gov.com/api/v1/usage/monthly-attributionhttps://api.datadoghq.com/api/v1/usage/monthly-attributionhttps://api.us3.datadoghq.com/api/v1/usage/monthly-attributionhttps://api.us5.datadoghq.com/api/v1/usage/monthly-attribution

Présentation

Get monthly usage attribution. Multi-region data is available starting March 1, 2023.

This API endpoint is paginated. To make sure you receive all records, check if the value of next_record_id is set in the response. If it is, make another request and pass next_record_id as a parameter. Pseudo code example:

response := GetMonthlyUsageAttribution(start_month)
cursor := response.metadata.pagination.next_record_id
WHILE cursor != null BEGIN
  sleep(5 seconds)  # Avoid running into rate limit
  response := GetMonthlyUsageAttribution(start_month, next_record_id=cursor)
  cursor := response.metadata.pagination.next_record_id
END
This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_month [required]

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage beginning in this month. Maximum of 15 months ago.

end_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage ending this month.

fields [required]

enum

Comma-separated list of usage types to return, or * for all usage types.
Allowed enum values: api_usage, api_percentage, apm_fargate_usage, apm_fargate_percentage, appsec_fargate_usage, appsec_fargate_percentage, apm_host_usage, apm_host_percentage, apm_usm_usage, apm_usm_percentage, appsec_usage, appsec_percentage, asm_serverless_traced_invocations_usage, asm_serverless_traced_invocations_percentage, browser_usage, browser_percentage, ci_visibility_itr_usage, ci_visibility_itr_percentage, cloud_siem_usage, cloud_siem_percentage, container_excl_agent_usage, container_excl_agent_percentage, container_usage, container_percentage, cspm_containers_percentage, cspm_containers_usage, cspm_hosts_percentage, cspm_hosts_usage, custom_timeseries_usage, custom_timeseries_percentage, custom_ingested_timeseries_usage, custom_ingested_timeseries_percentage, cws_containers_percentage, cws_containers_usage, cws_hosts_percentage, cws_hosts_usage, dbm_hosts_percentage, dbm_hosts_usage, dbm_queries_percentage, dbm_queries_usage, error_tracking_usage, error_tracking_percentage, estimated_indexed_logs_usage, estimated_indexed_logs_percentage, estimated_ingested_logs_usage, estimated_ingested_logs_percentage, estimated_indexed_spans_usage, estimated_indexed_spans_percentage, estimated_ingested_spans_usage, estimated_ingested_spans_percentage, fargate_usage, fargate_percentage, functions_usage, functions_percentage, incident_management_monthly_active_users_usage, incident_management_monthly_active_users_percentage, infra_host_usage, infra_host_percentage, invocations_usage, invocations_percentage, lambda_traced_invocations_usage, lambda_traced_invocations_percentage, mobile_app_testing_percentage, mobile_app_testing_usage, ndm_netflow_usage, ndm_netflow_percentage, npm_host_usage, npm_host_percentage, obs_pipeline_bytes_usage, obs_pipeline_bytes_percentage, obs_pipelines_vcpu_usage, obs_pipelines_vcpu_percentage, online_archive_usage, online_archive_percentage, profiled_container_usage, profiled_container_percentage, profiled_fargate_usage, profiled_fargate_percentage, profiled_host_usage, profiled_host_percentage, serverless_apps_usage, serverless_apps_percentage, snmp_usage, snmp_percentage, estimated_rum_sessions_usage, estimated_rum_sessions_percentage, universal_service_monitoring_usage, universal_service_monitoring_percentage, vuln_management_hosts_usage, vuln_management_hosts_percentage, sds_scanned_bytes_usage, sds_scanned_bytes_percentage, ci_test_indexed_spans_usage, ci_test_indexed_spans_percentage, ingested_logs_bytes_usage, ingested_logs_bytes_percentage, ci_pipeline_indexed_spans_usage, ci_pipeline_indexed_spans_percentage, indexed_spans_usage, indexed_spans_percentage, custom_event_usage, custom_event_percentage, logs_indexed_custom_retention_usage, logs_indexed_custom_retention_percentage, logs_indexed_360day_usage, logs_indexed_360day_percentage, logs_indexed_180day_usage, logs_indexed_180day_percentage, logs_indexed_90day_usage, logs_indexed_90day_percentage, logs_indexed_60day_usage, logs_indexed_60day_percentage, logs_indexed_45day_usage, logs_indexed_45day_percentage, logs_indexed_30day_usage, logs_indexed_30day_percentage, logs_indexed_15day_usage, logs_indexed_15day_percentage, logs_indexed_7day_usage, logs_indexed_7day_percentage, logs_indexed_3day_usage, logs_indexed_3day_percentage, logs_indexed_1day_usage, logs_indexed_1day_percentage, rum_replay_sessions_usage, rum_replay_sessions_percentage, rum_browser_mobile_sessions_usage, rum_browser_mobile_sessions_percentage, ingested_spans_bytes_usage, ingested_spans_bytes_percentage, siem_ingested_bytes_usage, siem_ingested_bytes_percentage, workflow_executions_usage, workflow_executions_percentage, *

sort_direction

enum

The direction to sort by: [desc, asc].
Allowed enum values: desc, asc

sort_name

enum

The field to sort by.
Allowed enum values: api_usage, api_percentage, apm_fargate_usage, apm_fargate_percentage, appsec_fargate_usage, appsec_fargate_percentage, apm_host_usage, apm_host_percentage, apm_usm_usage, apm_usm_percentage, appsec_usage, appsec_percentage, asm_serverless_traced_invocations_usage, asm_serverless_traced_invocations_percentage, browser_usage, browser_percentage, ci_visibility_itr_usage, ci_visibility_itr_percentage, cloud_siem_usage, cloud_siem_percentage, container_excl_agent_usage, container_excl_agent_percentage, container_usage, container_percentage, cspm_containers_percentage, cspm_containers_usage, cspm_hosts_percentage, cspm_hosts_usage, custom_timeseries_usage, custom_timeseries_percentage, custom_ingested_timeseries_usage, custom_ingested_timeseries_percentage, cws_containers_percentage, cws_containers_usage, cws_hosts_percentage, cws_hosts_usage, dbm_hosts_percentage, dbm_hosts_usage, dbm_queries_percentage, dbm_queries_usage, error_tracking_usage, error_tracking_percentage, estimated_indexed_logs_usage, estimated_indexed_logs_percentage, estimated_ingested_logs_usage, estimated_ingested_logs_percentage, estimated_indexed_spans_usage, estimated_indexed_spans_percentage, estimated_ingested_spans_usage, estimated_ingested_spans_percentage, fargate_usage, fargate_percentage, functions_usage, functions_percentage, incident_management_monthly_active_users_usage, incident_management_monthly_active_users_percentage, infra_host_usage, infra_host_percentage, invocations_usage, invocations_percentage, lambda_traced_invocations_usage, lambda_traced_invocations_percentage, mobile_app_testing_percentage, mobile_app_testing_usage, ndm_netflow_usage, ndm_netflow_percentage, npm_host_usage, npm_host_percentage, obs_pipeline_bytes_usage, obs_pipeline_bytes_percentage, obs_pipelines_vcpu_usage, obs_pipelines_vcpu_percentage, online_archive_usage, online_archive_percentage, profiled_container_usage, profiled_container_percentage, profiled_fargate_usage, profiled_fargate_percentage, profiled_host_usage, profiled_host_percentage, serverless_apps_usage, serverless_apps_percentage, snmp_usage, snmp_percentage, estimated_rum_sessions_usage, estimated_rum_sessions_percentage, universal_service_monitoring_usage, universal_service_monitoring_percentage, vuln_management_hosts_usage, vuln_management_hosts_percentage, sds_scanned_bytes_usage, sds_scanned_bytes_percentage, ci_test_indexed_spans_usage, ci_test_indexed_spans_percentage, ingested_logs_bytes_usage, ingested_logs_bytes_percentage, ci_pipeline_indexed_spans_usage, ci_pipeline_indexed_spans_percentage, indexed_spans_usage, indexed_spans_percentage, custom_event_usage, custom_event_percentage, logs_indexed_custom_retention_usage, logs_indexed_custom_retention_percentage, logs_indexed_360day_usage, logs_indexed_360day_percentage, logs_indexed_180day_usage, logs_indexed_180day_percentage, logs_indexed_90day_usage, logs_indexed_90day_percentage, logs_indexed_60day_usage, logs_indexed_60day_percentage, logs_indexed_45day_usage, logs_indexed_45day_percentage, logs_indexed_30day_usage, logs_indexed_30day_percentage, logs_indexed_15day_usage, logs_indexed_15day_percentage, logs_indexed_7day_usage, logs_indexed_7day_percentage, logs_indexed_3day_usage, logs_indexed_3day_percentage, logs_indexed_1day_usage, logs_indexed_1day_percentage, rum_replay_sessions_usage, rum_replay_sessions_percentage, rum_browser_mobile_sessions_usage, rum_browser_mobile_sessions_percentage, ingested_spans_bytes_usage, ingested_spans_bytes_percentage, siem_ingested_bytes_usage, siem_ingested_bytes_percentage, workflow_executions_usage, workflow_executions_percentage, *

tag_breakdown_keys

string

Comma separated list of tag keys used to group usage. If no value is provided the usage will not be broken down by tags.

To see which tags are available, look for the value of tag_config_source in the API response.

next_record_id

string

List following results with a next_record_id provided in the previous query.

include_descendants

boolean

Include child org usage in the response. Defaults to true.

Réponse

OK

Response containing the monthly Usage Summary by tag(s).

Expand All

Champ

Type

Description

metadata

object

The object containing document metadata.

aggregates

[object]

An array of available aggregates.

agg_type

string

The aggregate type.

field

string

The field.

value

double

The value for a given field.

pagination

object

The metadata for the current pagination.

next_record_id

string

The cursor to use to get the next results, if any. To make the next request, use the same parameters with the addition of the next_record_id.

usage

[object]

Get usage summary by tag(s).

month

date-time

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM].

org_name

string

The name of the organization.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

tag_config_source

string

The source of the usage attribution tag configuration and the selected tags in the format <source_org_name>:::<selected tag 1>///<selected tag 2>///<selected tag 3>.

tags

object

Tag keys and values.

A null value here means that the requested tag breakdown cannot be applied because it does not match the tags configured for usage attribution. In this scenario the API returns the total usage, not broken down by tags.

<any-key>

[string]

A list of values that are associated with each tag key.

  • An empty list means the resource use wasn't tagged with the respective tag.
  • Multiple values means the respective tag was applied multiple times on the resource.
  • An <empty> value means the resource was tagged with the respective tag but did not have a value.

updated_at

date-time

Datetime of the most recent update to the usage values.

values

object

Fields in Usage Summary by tag(s).

api_percentage

double

The percentage of synthetic API test usage by tag(s).

api_usage

double

The synthetic API test usage by tag(s).

apm_fargate_percentage

double

The percentage of APM ECS Fargate task usage by tag(s).

apm_fargate_usage

double

The APM ECS Fargate task usage by tag(s).

apm_host_percentage

double

The percentage of APM host usage by tag(s).

apm_host_usage

double

The APM host usage by tag(s).

apm_usm_percentage

double

The percentage of APM and Universal Service Monitoring host usage by tag(s).

apm_usm_usage

double

The APM and Universal Service Monitoring host usage by tag(s).

appsec_fargate_percentage

double

The percentage of Application Security Monitoring ECS Fargate task usage by tag(s).

appsec_fargate_usage

double

The Application Security Monitoring ECS Fargate task usage by tag(s).

appsec_percentage

double

The percentage of Application Security Monitoring host usage by tag(s).

appsec_usage

double

The Application Security Monitoring host usage by tag(s).

asm_serverless_traced_invocations_percentage

double

The percentage of Application Security Monitoring Serverless traced invocations usage by tag(s).

asm_serverless_traced_invocations_usage

double

The Application Security Monitoring Serverless traced invocations usage by tag(s).

browser_percentage

double

The percentage of synthetic browser test usage by tag(s).

browser_usage

double

The synthetic browser test usage by tag(s).

ci_pipeline_indexed_spans_percentage

double

The percentage of CI Pipeline Indexed Spans usage by tag(s).

ci_pipeline_indexed_spans_usage

double

The total CI Pipeline Indexed Spans usage by tag(s).

ci_test_indexed_spans_percentage

double

The percentage of CI Test Indexed Spans usage by tag(s).

ci_test_indexed_spans_usage

double

The total CI Test Indexed Spans usage by tag(s).

ci_visibility_itr_percentage

double

The percentage of Git committers for Intelligent Test Runner usage by tag(s).

ci_visibility_itr_usage

double

The Git committers for Intelligent Test Runner usage by tag(s).

cloud_siem_percentage

double

The percentage of Cloud Security Information and Event Management usage by tag(s).

cloud_siem_usage

double

The Cloud Security Information and Event Management usage by tag(s).

container_excl_agent_percentage

double

The percentage of container usage without the Datadog Agent by tag(s).

container_excl_agent_usage

double

The container usage without the Datadog Agent by tag(s).

container_percentage

double

The percentage of container usage by tag(s).

container_usage

double

The container usage by tag(s).

cspm_containers_percentage

double

The percentage of Cloud Security Management Pro container usage by tag(s).

cspm_containers_usage

double

The Cloud Security Management Pro container usage by tag(s).

cspm_hosts_percentage

double

The percentage of Cloud Security Management Pro host usage by tag(s).

cspm_hosts_usage

double

The Cloud Security Management Pro host usage by tag(s).

custom_event_percentage

double

The percentage of Custom Events usage by tag(s).

custom_event_usage

double

The total Custom Events usage by tag(s).

custom_ingested_timeseries_percentage

double

The percentage of ingested custom metrics usage by tag(s).

custom_ingested_timeseries_usage

double

The ingested custom metrics usage by tag(s).

custom_timeseries_percentage

double

The percentage of indexed custom metrics usage by tag(s).

custom_timeseries_usage

double

The indexed custom metrics usage by tag(s).

cws_containers_percentage

double

The percentage of Cloud Workload Security container usage by tag(s).

cws_containers_usage

double

The Cloud Workload Security container usage by tag(s).

cws_hosts_percentage

double

The percentage of Cloud Workload Security host usage by tag(s).

cws_hosts_usage

double

The Cloud Workload Security host usage by tag(s).

dbm_hosts_percentage

double

The percentage of Database Monitoring host usage by tag(s).

dbm_hosts_usage

double

The Database Monitoring host usage by tag(s).

dbm_queries_percentage

double

The percentage of Database Monitoring queries usage by tag(s).

dbm_queries_usage

double

The Database Monitoring queries usage by tag(s).

error_tracking_percentage

double

The percentage of error tracking events usage by tag(s).

error_tracking_usage

double

The error tracking events usage by tag(s).

estimated_indexed_logs_percentage

double

The percentage of estimated live indexed logs usage by tag(s).

estimated_indexed_logs_usage

double

The estimated live indexed logs usage by tag(s).

estimated_indexed_spans_percentage

double

The percentage of estimated indexed spans usage by tag(s).

estimated_indexed_spans_usage

double

The estimated indexed spans usage by tag(s).

estimated_ingested_logs_percentage

double

The percentage of estimated live ingested logs usage by tag(s).

estimated_ingested_logs_usage

double

The estimated live ingested logs usage by tag(s).

estimated_ingested_spans_percentage

double

The percentage of estimated ingested spans usage by tag(s).

estimated_ingested_spans_usage

double

The estimated ingested spans usage by tag(s).

estimated_rum_sessions_percentage

double

The percentage of estimated rum sessions usage by tag(s).

estimated_rum_sessions_usage

double

The estimated rum sessions usage by tag(s).

fargate_percentage

double

The percentage of Fargate usage by tags.

fargate_usage

double

The Fargate usage by tags.

functions_percentage

double

The percentage of Lambda function usage by tag(s).

functions_usage

double

The Lambda function usage by tag(s).

incident_management_monthly_active_users_percentage

double

The percentage of Incident Management monthly active users usage by tag(s).

incident_management_monthly_active_users_usage

double

The Incident Management monthly active users usage by tag(s).

indexed_spans_percentage

double

The percentage of APM Indexed Spans usage by tag(s).

indexed_spans_usage

double

The total APM Indexed Spans usage by tag(s).

infra_host_percentage

double

The percentage of infrastructure host usage by tag(s).

infra_host_usage

double

The infrastructure host usage by tag(s).

ingested_logs_bytes_percentage

double

The percentage of Ingested Logs usage by tag(s).

ingested_logs_bytes_usage

double

The total Ingested Logs usage by tag(s).

ingested_spans_bytes_percentage

double

The percentage of APM Ingested Spans usage by tag(s).

ingested_spans_bytes_usage

double

The total APM Ingested Spans usage by tag(s).

invocations_percentage

double

The percentage of Lambda invocation usage by tag(s).

invocations_usage

double

The Lambda invocation usage by tag(s).

lambda_traced_invocations_percentage

double

The percentage of Serverless APM usage by tag(s).

lambda_traced_invocations_usage

double

The Serverless APM usage by tag(s).

logs_indexed_15day_percentage

double

The percentage of Indexed Logs (15-day Retention) usage by tag(s).

logs_indexed_15day_usage

double

The total Indexed Logs (15-day Retention) usage by tag(s).

logs_indexed_180day_percentage

double

The percentage of Indexed Logs (180-day Retention) usage by tag(s).

logs_indexed_180day_usage

double

The total Indexed Logs (180-day Retention) usage by tag(s).

logs_indexed_1day_percentage

double

The percentage of Indexed Logs (1-day Retention) usage by tag(s).

logs_indexed_1day_usage

double

The total Indexed Logs (1-day Retention) usage by tag(s).

logs_indexed_30day_percentage

double

The percentage of Indexed Logs (30-day Retention) usage by tag(s).

logs_indexed_30day_usage

double

The total Indexed Logs (30-day Retention) usage by tag(s).

logs_indexed_360day_percentage

double

The percentage of Indexed Logs (360-day Retention) usage by tag(s).

logs_indexed_360day_usage

double

The total Indexed Logs (360-day Retention) usage by tag(s).

logs_indexed_3day_percentage

double

The percentage of Indexed Logs (3-day Retention) usage by tag(s).

logs_indexed_3day_usage

double

The total Indexed Logs (3-day Retention) usage by tag(s).

logs_indexed_45day_percentage

double

The percentage of Indexed Logs (45-day Retention) usage by tag(s).

logs_indexed_45day_usage

double

The total Indexed Logs (45-day Retention) usage by tag(s).

logs_indexed_60day_percentage

double

The percentage of Indexed Logs (60-day Retention) usage by tag(s).

logs_indexed_60day_usage

double

The total Indexed Logs (60-day Retention) usage by tag(s).

logs_indexed_7day_percentage

double

The percentage of Indexed Logs (7-day Retention) usage by tag(s).

logs_indexed_7day_usage

double

The total Indexed Logs (7-day Retention) usage by tag(s).

logs_indexed_90day_percentage

double

The percentage of Indexed Logs (90-day Retention) usage by tag(s).

logs_indexed_90day_usage

double

The total Indexed Logs (90-day Retention) usage by tag(s).

logs_indexed_custom_retention_percentage

double

The percentage of Indexed Logs (Custom Retention) usage by tag(s).

logs_indexed_custom_retention_usage

double

The total Indexed Logs (Custom Retention) usage by tag(s).

mobile_app_testing_percentage

double

The percentage of Synthetic mobile application test usage by tag(s).

mobile_app_testing_usage

double

The Synthetic mobile application test usage by tag(s).

ndm_netflow_percentage

double

The percentage of Network Device Monitoring NetFlow usage by tag(s).

ndm_netflow_usage

double

The Network Device Monitoring NetFlow usage by tag(s).

npm_host_percentage

double

The percentage of network host usage by tag(s).

npm_host_usage

double

The network host usage by tag(s).

obs_pipeline_bytes_percentage

double

The percentage of observability pipeline bytes usage by tag(s).

obs_pipeline_bytes_usage

double

The observability pipeline bytes usage by tag(s).

obs_pipelines_vcpu_percentage

double

The percentage of observability pipeline per core usage by tag(s).

obs_pipelines_vcpu_usage

double

The observability pipeline per core usage by tag(s).

online_archive_percentage

double

The percentage of online archive usage by tag(s).

online_archive_usage

double

The online archive usage by tag(s).

profiled_container_percentage

double

The percentage of profiled container usage by tag(s).

profiled_container_usage

double

The profiled container usage by tag(s).

profiled_fargate_percentage

double

The percentage of profiled Fargate task usage by tag(s).

profiled_fargate_usage

double

The profiled Fargate task usage by tag(s).

profiled_host_percentage

double

The percentage of profiled hosts usage by tag(s).

profiled_host_usage

double

The profiled hosts usage by tag(s).

rum_browser_mobile_sessions_percentage

double

The percentage of RUM Browser and Mobile usage by tag(s).

rum_browser_mobile_sessions_usage

double

The total RUM Browser and Mobile usage by tag(s).

rum_replay_sessions_percentage

double

The percentage of RUM Replay Sessions usage by tag(s).

rum_replay_sessions_usage

double

The total RUM Replay Sessions usage by tag(s).

sds_scanned_bytes_percentage

double

The percentage of Sensitive Data Scanner usage by tag(s).

sds_scanned_bytes_usage

double

The total Sensitive Data Scanner usage by tag(s).

serverless_apps_percentage

double

The percentage of Serverless Apps usage by tag(s).

serverless_apps_usage

double

The total Serverless Apps usage by tag(s).

siem_ingested_bytes_percentage

double

The percentage of SIEM usage by tag(s).

siem_ingested_bytes_usage

double

The total SIEM usage by tag(s).

snmp_percentage

double

The percentage of network device usage by tag(s).

snmp_usage

double

The network device usage by tag(s).

universal_service_monitoring_percentage

double

The percentage of universal service monitoring usage by tag(s).

universal_service_monitoring_usage

double

The universal service monitoring usage by tag(s).

vuln_management_hosts_percentage

double

The percentage of Application Vulnerability Management usage by tag(s).

vuln_management_hosts_usage

double

The Application Vulnerability Management usage by tag(s).

workflow_executions_percentage

double

The percentage of workflow executions usage by tag(s).

workflow_executions_usage

double

The total workflow executions usage by tag(s).

{
  "metadata": {
    "aggregates": [
      {
        "agg_type": "sum",
        "field": "custom_timeseries_usage",
        "value": "number"
      }
    ],
    "pagination": {
      "next_record_id": "string"
    }
  },
  "usage": [
    {
      "month": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string",
      "region": "string",
      "tag_config_source": "string",
      "tags": {
        "<any-key>": [
          "datadog-integrations-lab"
        ]
      },
      "updated_at": "2019-09-19T10:00:00.000Z",
      "values": {
        "api_percentage": "number",
        "api_usage": "number",
        "apm_fargate_percentage": "number",
        "apm_fargate_usage": "number",
        "apm_host_percentage": "number",
        "apm_host_usage": "number",
        "apm_usm_percentage": "number",
        "apm_usm_usage": "number",
        "appsec_fargate_percentage": "number",
        "appsec_fargate_usage": "number",
        "appsec_percentage": "number",
        "appsec_usage": "number",
        "asm_serverless_traced_invocations_percentage": "number",
        "asm_serverless_traced_invocations_usage": "number",
        "browser_percentage": "number",
        "browser_usage": "number",
        "ci_pipeline_indexed_spans_percentage": "number",
        "ci_pipeline_indexed_spans_usage": "number",
        "ci_test_indexed_spans_percentage": "number",
        "ci_test_indexed_spans_usage": "number",
        "ci_visibility_itr_percentage": "number",
        "ci_visibility_itr_usage": "number",
        "cloud_siem_percentage": "number",
        "cloud_siem_usage": "number",
        "container_excl_agent_percentage": "number",
        "container_excl_agent_usage": "number",
        "container_percentage": "number",
        "container_usage": "number",
        "cspm_containers_percentage": "number",
        "cspm_containers_usage": "number",
        "cspm_hosts_percentage": "number",
        "cspm_hosts_usage": "number",
        "custom_event_percentage": "number",
        "custom_event_usage": "number",
        "custom_ingested_timeseries_percentage": "number",
        "custom_ingested_timeseries_usage": "number",
        "custom_timeseries_percentage": "number",
        "custom_timeseries_usage": "number",
        "cws_containers_percentage": "number",
        "cws_containers_usage": "number",
        "cws_hosts_percentage": "number",
        "cws_hosts_usage": "number",
        "dbm_hosts_percentage": "number",
        "dbm_hosts_usage": "number",
        "dbm_queries_percentage": "number",
        "dbm_queries_usage": "number",
        "error_tracking_percentage": "number",
        "error_tracking_usage": "number",
        "estimated_indexed_logs_percentage": "number",
        "estimated_indexed_logs_usage": "number",
        "estimated_indexed_spans_percentage": "number",
        "estimated_indexed_spans_usage": "number",
        "estimated_ingested_logs_percentage": "number",
        "estimated_ingested_logs_usage": "number",
        "estimated_ingested_spans_percentage": "number",
        "estimated_ingested_spans_usage": "number",
        "estimated_rum_sessions_percentage": "number",
        "estimated_rum_sessions_usage": "number",
        "fargate_percentage": "number",
        "fargate_usage": "number",
        "functions_percentage": "number",
        "functions_usage": "number",
        "incident_management_monthly_active_users_percentage": "number",
        "incident_management_monthly_active_users_usage": "number",
        "indexed_spans_percentage": "number",
        "indexed_spans_usage": "number",
        "infra_host_percentage": "number",
        "infra_host_usage": "number",
        "ingested_logs_bytes_percentage": "number",
        "ingested_logs_bytes_usage": "number",
        "ingested_spans_bytes_percentage": "number",
        "ingested_spans_bytes_usage": "number",
        "invocations_percentage": "number",
        "invocations_usage": "number",
        "lambda_traced_invocations_percentage": "number",
        "lambda_traced_invocations_usage": "number",
        "logs_indexed_15day_percentage": "number",
        "logs_indexed_15day_usage": "number",
        "logs_indexed_180day_percentage": "number",
        "logs_indexed_180day_usage": "number",
        "logs_indexed_1day_percentage": "number",
        "logs_indexed_1day_usage": "number",
        "logs_indexed_30day_percentage": "number",
        "logs_indexed_30day_usage": "number",
        "logs_indexed_360day_percentage": "number",
        "logs_indexed_360day_usage": "number",
        "logs_indexed_3day_percentage": "number",
        "logs_indexed_3day_usage": "number",
        "logs_indexed_45day_percentage": "number",
        "logs_indexed_45day_usage": "number",
        "logs_indexed_60day_percentage": "number",
        "logs_indexed_60day_usage": "number",
        "logs_indexed_7day_percentage": "number",
        "logs_indexed_7day_usage": "number",
        "logs_indexed_90day_percentage": "number",
        "logs_indexed_90day_usage": "number",
        "logs_indexed_custom_retention_percentage": "number",
        "logs_indexed_custom_retention_usage": "number",
        "mobile_app_testing_percentage": "number",
        "mobile_app_testing_usage": "number",
        "ndm_netflow_percentage": "number",
        "ndm_netflow_usage": "number",
        "npm_host_percentage": "number",
        "npm_host_usage": "number",
        "obs_pipeline_bytes_percentage": "number",
        "obs_pipeline_bytes_usage": "number",
        "obs_pipelines_vcpu_percentage": "number",
        "obs_pipelines_vcpu_usage": "number",
        "online_archive_percentage": "number",
        "online_archive_usage": "number",
        "profiled_container_percentage": "number",
        "profiled_container_usage": "number",
        "profiled_fargate_percentage": "number",
        "profiled_fargate_usage": "number",
        "profiled_host_percentage": "number",
        "profiled_host_usage": "number",
        "rum_browser_mobile_sessions_percentage": "number",
        "rum_browser_mobile_sessions_usage": "number",
        "rum_replay_sessions_percentage": "number",
        "rum_replay_sessions_usage": "number",
        "sds_scanned_bytes_percentage": "number",
        "sds_scanned_bytes_usage": "number",
        "serverless_apps_percentage": "number",
        "serverless_apps_usage": "number",
        "siem_ingested_bytes_percentage": "number",
        "siem_ingested_bytes_usage": "number",
        "snmp_percentage": "number",
        "snmp_usage": "number",
        "universal_service_monitoring_percentage": "number",
        "universal_service_monitoring_usage": "number",
        "vuln_management_hosts_percentage": "number",
        "vuln_management_hosts_usage": "number",
        "workflow_executions_percentage": "number",
        "workflow_executions_usage": "number"
      }
    }
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_month="CHANGE_ME"
export fields="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/monthly-attribution?start_month=${start_month}&fields=${fields}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get monthly usage attribution returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datadog_api_client.v1.model.monthly_usage_attribution_supported_metrics import (
    MonthlyUsageAttributionSupportedMetrics,
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_monthly_usage_attribution(
        start_month=(datetime.now() + relativedelta(days=-3)),
        fields=MonthlyUsageAttributionSupportedMetrics.INFRA_HOST_USAGE,
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get monthly usage attribution returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_monthly_usage_attribution((Time.now + -3 * 86400), MonthlyUsageAttributionSupportedMetrics::INFRA_HOST_USAGE)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get monthly usage attribution returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetMonthlyUsageAttribution(ctx, time.Now().AddDate(0, 0, -3), datadogV1.MONTHLYUSAGEATTRIBUTIONSUPPORTEDMETRICS_INFRA_HOST_USAGE, *datadogV1.NewGetMonthlyUsageAttributionOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetMonthlyUsageAttribution`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetMonthlyUsageAttribution`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get monthly usage attribution returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.MonthlyUsageAttributionResponse;
import com.datadog.api.client.v1.model.MonthlyUsageAttributionSupportedMetrics;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      MonthlyUsageAttributionResponse result =
          apiInstance.getMonthlyUsageAttribution(
              OffsetDateTime.now().plusDays(-3),
              MonthlyUsageAttributionSupportedMetrics.INFRA_HOST_USAGE);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getMonthlyUsageAttribution");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get monthly usage attribution returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetMonthlyUsageAttributionRequest = {
  startMonth: new Date(new Date().getTime() + -3 * 86400 * 1000),
  fields: "infra_host_usage",
};

apiInstance
  .getMonthlyUsageAttribution(params)
  .then((data: v1.MonthlyUsageAttributionResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get active billing dimensions for cost attribution

Note: This endpoint is in public beta. If you have any feedback, contact Datadog support.

GET https://api.ap1.datadoghq.com/api/v2/cost_by_tag/active_billing_dimensionshttps://api.datadoghq.eu/api/v2/cost_by_tag/active_billing_dimensionshttps://api.ddog-gov.com/api/v2/cost_by_tag/active_billing_dimensionshttps://api.datadoghq.com/api/v2/cost_by_tag/active_billing_dimensionshttps://api.us3.datadoghq.com/api/v2/cost_by_tag/active_billing_dimensionshttps://api.us5.datadoghq.com/api/v2/cost_by_tag/active_billing_dimensions

Présentation

Get active billing dimensions for cost attribution. Cost data for a given month becomes available no later than the 19th of the following month. This endpoint requires the usage_read authorization scope.

Réponse

OK

Active billing dimensions response.

Expand All

Champ

Type

Description

data

object

Active billing dimensions data.

attributes

object

List of active billing dimensions.

month

date-time

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh].

values

[string]

List of active billing dimensions. Example: [infra_host, apm_host, serverless_infra].

id

string

Unique ID of the response.

type

enum

Type of active billing dimensions data. Allowed enum values: billing_dimensions

default: billing_dimensions

{
  "data": {
    "attributes": {
      "month": "2019-09-19T10:00:00.000Z",
      "values": [
        "infra_host"
      ]
    },
    "id": "string",
    "type": "string"
  }
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/cost_by_tag/active_billing_dimensions" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get active billing dimensions for cost attribution returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
configuration.unstable_operations["get_active_billing_dimensions"] = True
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_active_billing_dimensions()

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get active billing dimensions for cost attribution returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.unstable_operations["v2.get_active_billing_dimensions".to_sym] = true
end
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
p api_instance.get_active_billing_dimensions()

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get active billing dimensions for cost attribution returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.GetActiveBillingDimensions", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetActiveBillingDimensions(ctx)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetActiveBillingDimensions`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetActiveBillingDimensions`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get active billing dimensions for cost attribution returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.model.ActiveBillingDimensionsResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setUnstableOperationEnabled("v2.getActiveBillingDimensions", true);
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      ActiveBillingDimensionsResponse result = apiInstance.getActiveBillingDimensions();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getActiveBillingDimensions");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get active billing dimensions for cost attribution returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
configuration.unstableOperations["v2.getActiveBillingDimensions"] = true;
const apiInstance = new v2.UsageMeteringApi(configuration);

apiInstance
  .getActiveBillingDimensions()
  .then((data: v2.ActiveBillingDimensionsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get billable usage across your account

GET https://api.ap1.datadoghq.com/api/v1/usage/billable-summaryhttps://api.datadoghq.eu/api/v1/usage/billable-summaryhttps://api.ddog-gov.com/api/v1/usage/billable-summaryhttps://api.datadoghq.com/api/v1/usage/billable-summaryhttps://api.us3.datadoghq.com/api/v1/usage/billable-summaryhttps://api.us5.datadoghq.com/api/v1/usage/billable-summary

Présentation

Récupérez les données d’utilisation facturable de votre compte. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage starting this month.

Réponse

OK

Response with monthly summary of data billed by Datadog.

Expand All

Champ

Type

Description

usage

[object]

An array of objects regarding usage of billable summary.

billing_plan

string

The billing plan.

end_date

date-time

Shows the last date of usage.

num_orgs

int64

The number of organizations.

org_name

string

The organization name.

public_id

string

The organization public ID.

ratio_in_month

double

Shows usage aggregation for a billing period.

region

string

The region of the organization.

start_date

date-time

Shows the first date of usage.

usage

object

Response with aggregated usage types.

apm_fargate_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

apm_fargate_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

apm_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

apm_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

apm_profiler_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

apm_profiler_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

apm_trace_search_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

application_security_fargate_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

application_security_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

application_security_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

ci_pipeline_indexed_spans_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

ci_pipeline_maximum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

ci_pipeline_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

ci_test_indexed_spans_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

ci_testing_maximum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

ci_testing_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

cloud_cost_management_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

cloud_cost_management_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

cspm_container_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

cspm_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

cspm_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

custom_event_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

cws_container_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

cws_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

cws_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

dbm_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

dbm_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

dbm_normalized_queries_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

dbm_normalized_queries_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

fargate_container_apm_and_profiler_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

fargate_container_apm_and_profiler_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

fargate_container_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

fargate_container_profiler_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

fargate_container_profiler_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

fargate_container_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

incident_management_maximum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

incident_management_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

infra_and_apm_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

infra_and_apm_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

infra_container_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

infra_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

infra_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

ingested_spans_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

ingested_timeseries_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

ingested_timeseries_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

iot_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

iot_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

lambda_function_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

lambda_function_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_forwarding_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_15day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_180day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_1day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_30day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_360day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_3day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_45day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_60day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_7day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_90day_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_custom_retention_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_indexed_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

logs_ingested_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

network_device_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

network_device_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

npm_flow_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

npm_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

npm_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

observability_pipeline_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

online_archive_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

prof_container_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

prof_host_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

prof_host_top99p

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

rum_lite_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

rum_replay_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

rum_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

rum_units_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

sensitive_data_scanner_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

serverless_apm_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

serverless_infra_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

serverless_infra_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

serverless_invocation_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

siem_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

standard_timeseries_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

synthetics_api_tests_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

synthetics_app_testing_maximum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

synthetics_browser_checks_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

timeseries_average

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

timeseries_sum

object

Response with properties for each aggregated usage type.

account_billable_usage

int64

The total account usage.

elapsed_usage_hours

int64

Elapsed usage hours for some billable product.

first_billable_usage_hour

date-time

The first billable hour for the org.

last_billable_usage_hour

date-time

The last billable hour for the org.

org_billable_usage

int64

The number of units used within the billable timeframe.

percentage_in_account

double

The percentage of account usage the org represents.

usage_unit

string

Units pertaining to the usage.

{
  "usage": [
    {
      "billing_plan": "string",
      "end_date": "2019-09-19T10:00:00.000Z",
      "num_orgs": "integer",
      "org_name": "string",
      "public_id": "string",
      "ratio_in_month": "number",
      "region": "string",
      "start_date": "2019-09-19T10:00:00.000Z",
      "usage": {
        "apm_fargate_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_fargate_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_profiler_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_profiler_host_top99p": {
          "account_billable_usage": "integer",
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        "logs_ingested_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "network_device_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "network_device_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "npm_flow_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "npm_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "npm_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "observability_pipeline_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "online_archive_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "prof_container_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "prof_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "prof_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "rum_lite_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "rum_replay_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "rum_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "rum_units_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "sensitive_data_scanner_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "serverless_apm_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "serverless_infra_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "serverless_infra_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "serverless_invocation_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "siem_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "standard_timeseries_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "synthetics_api_tests_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "synthetics_app_testing_maximum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "synthetics_browser_checks_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "timeseries_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "timeseries_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        }
      }
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/billable-summary" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get billable usage across your account returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_billable_summary()

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get billable usage across your account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_billable_summary()

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get billable usage across your account returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageBillableSummary(ctx, *datadogV1.NewGetUsageBillableSummaryOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageBillableSummary`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageBillableSummary`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get billable usage across your account returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageBillableSummaryResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageBillableSummaryResponse result = apiInstance.getUsageBillableSummary();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageBillableSummary");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get billable usage across your account returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

apiInstance
  .getUsageBillableSummary()
  .then((data: v1.UsageBillableSummaryResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get historical cost across your account

GET https://api.ap1.datadoghq.com/api/v2/usage/historical_costhttps://api.datadoghq.eu/api/v2/usage/historical_costhttps://api.ddog-gov.com/api/v2/usage/historical_costhttps://api.datadoghq.com/api/v2/usage/historical_costhttps://api.us3.datadoghq.com/api/v2/usage/historical_costhttps://api.us5.datadoghq.com/api/v2/usage/historical_cost

Présentation

Get historical cost across multi-org and single root-org accounts. Cost data for a given month becomes available no later than the 16th of the following month.

This endpoint is only accessible for parent-level organizations.

This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

view

string

String to specify whether cost is broken down at a parent-org level or at the sub-org level. Available views are summary and sub-org. Defaults to summary.

start_month [required]

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost beginning this month.

end_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost ending this month.

Réponse

OK

Chargeback Summary response.

Expand All

Champ

Type

Description

data

[object]

Response containing Chargeback Summary.

attributes

object

Cost attributes data.

charges

[object]

List of charges data reported for the requested month.

charge_type

string

The type of charge for a particular product.

cost

double

The cost for a particular product and charge type during a given month.

product_name

string

The product for which cost is being reported.

date

date-time

The month requested.

org_name

string

The organization name.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

total_cost

double

The total cost of products for the month.

id

string

Unique ID of the response.

type

enum

Type of cost data. Allowed enum values: cost_by_org

default: cost_by_org

{
  "data": [
    {
      "attributes": {
        "charges": [
          {
            "charge_type": "on_demand",
            "cost": "number",
            "product_name": "infra_host"
          }
        ],
        "date": "2019-09-19T10:00:00.000Z",
        "org_name": "string",
        "public_id": "string",
        "region": "string",
        "total_cost": "number"
      },
      "id": "string",
      "type": "cost_by_org"
    }
  ]
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_month="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/historical_cost?start_month=${start_month}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get historical cost across your account returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_historical_cost_by_org(
        view="sub-org",
        start_month=(datetime.now() + relativedelta(months=-2)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get historical cost across your account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
opts = {
  view: "sub-org",
}
p api_instance.get_historical_cost_by_org((Time.now + -2 * 86400 * 30), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get historical cost across your account returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetHistoricalCostByOrg(ctx, time.Now().AddDate(0, -2, 0), *datadogV2.NewGetHistoricalCostByOrgOptionalParameters().WithView("sub-org"))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetHistoricalCostByOrg`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetHistoricalCostByOrg`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get historical cost across your account returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.api.UsageMeteringApi.GetHistoricalCostByOrgOptionalParameters;
import com.datadog.api.client.v2.model.CostByOrgResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      CostByOrgResponse result =
          apiInstance.getHistoricalCostByOrg(
              OffsetDateTime.now().plusMonths(-2),
              new GetHistoricalCostByOrgOptionalParameters().view("sub-org"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getHistoricalCostByOrg");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get historical cost across your account returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetHistoricalCostByOrgRequest = {
  view: "sub-org",
  startMonth: new Date(new Date().getTime() + -2 * 86400 * 30 * 1000),
};

apiInstance
  .getHistoricalCostByOrg(params)
  .then((data: v2.CostByOrgResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get Monthly Cost Attribution

Note: This endpoint is in public beta. If you have any feedback, contact Datadog support.

GET https://api.ap1.datadoghq.com/api/v2/cost_by_tag/monthly_cost_attributionhttps://api.datadoghq.eu/api/v2/cost_by_tag/monthly_cost_attributionhttps://api.ddog-gov.com/api/v2/cost_by_tag/monthly_cost_attributionhttps://api.datadoghq.com/api/v2/cost_by_tag/monthly_cost_attributionhttps://api.us3.datadoghq.com/api/v2/cost_by_tag/monthly_cost_attributionhttps://api.us5.datadoghq.com/api/v2/cost_by_tag/monthly_cost_attribution

Présentation

Get monthly cost attribution by tag across multi-org and single root-org accounts. Cost Attribution data for a given month becomes available no later than the 19th of the following month. This API endpoint is paginated. To make sure you receive all records, check if the value of next_record_id is set in the response. If it is, make another request and pass next_record_id as a parameter. Pseudo code example:

response := GetMonthlyCostAttribution(start_month, end_month)
cursor := response.metadata.pagination.next_record_id
WHILE cursor != null BEGIN
  sleep(5 seconds)  # Avoid running into rate limit
  response := GetMonthlyCostAttribution(start_month, end_month, next_record_id=cursor)
  cursor := response.metadata.pagination.next_record_id
END

This endpoint is only accessible for parent-level organizations.

This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_month [required]

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost beginning in this month.

end_month [required]

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost ending this month.

fields [required]

string

Comma-separated list specifying cost types (e.g., <billing_dimension>_on_demand_cost, <billing_dimension>_committed_cost, <billing_dimension>_total_cost) and the proportions (<billing_dimension>_percentage_in_org, <billing_dimension>_percentage_in_account). Use * to retrieve all fields. Example: infra_host_on_demand_cost,infra_host_percentage_in_account To obtain the complete list of active billing dimensions that can be used to replace <billing_dimension> in the field names, make a request to the Get active billing dimensions API.

sort_direction

enum

The direction to sort by: [desc, asc].
Allowed enum values: desc, asc

sort_name

string

The billing dimension to sort by. Always sorted by total cost. Example: infra_host.

tag_breakdown_keys

string

Comma separated list of tag keys used to group cost. If no value is provided the cost will not be broken down by tags. To see which tags are available, look for the value of tag_config_source in the API response.

next_record_id

string

List following results with a next_record_id provided in the previous query.

include_descendants

boolean

Include child org cost in the response. Defaults to true.

Réponse

OK

Response containing the monthly cost attribution by tag(s).

Expand All

Champ

Type

Description

data

[object]

Response containing cost attribution.

attributes

object

Cost Attribution by Tag for a given organization.

month

date-time

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh].

org_name

string

The name of the organization.

public_id

string

The organization public ID.

tag_config_source

string

The source of the cost attribution tag configuration and the selected tags in the format <source_org_name>:::<selected tag 1>///<selected tag 2>///<selected tag 3>.

tags

object

Tag keys and values. A null value here means that the requested tag breakdown cannot be applied because it does not match the tags configured for usage attribution. In this scenario the API returns the total cost, not broken down by tags.

<any-key>

[string]

A list of values that are associated with each tag key.

  • An empty list means the resource use wasn't tagged with the respective tag.
  • Multiple values means the respective tag was applied multiple times on the resource.
  • An <empty> value means the resource was tagged with the respective tag but did not have a value.

updated_at

string

Shows the most recent hour in the current months for all organizations for which all costs were calculated.

values

object

Fields in Cost Attribution by tag(s). Example: infra_host_on_demand_cost, infra_host_committed_cost, infra_host_total_cost, infra_host_percentage_in_org, infra_host_percentage_in_account.

id

string

Unique ID of the response.

type

enum

Type of cost attribution data. Allowed enum values: cost_by_tag

default: cost_by_tag

meta

object

The object containing document metadata.

aggregates

[object]

An array of available aggregates.

agg_type

string

The aggregate type.

field

string

The field.

value

double

The value for a given field.

pagination

object

The metadata for the current pagination.

next_record_id

string

The cursor to use to get the next results, if any. To make the next request, use the same parameters with the addition of the next_record_id.

{
  "data": [
    {
      "attributes": {
        "month": "2019-09-19T10:00:00.000Z",
        "org_name": "string",
        "public_id": "string",
        "tag_config_source": "string",
        "tags": {
          "<any-key>": [
            "datadog-integrations-lab"
          ]
        },
        "updated_at": "string",
        "values": {}
      },
      "id": "string",
      "type": "cost_by_tag"
    }
  ],
  "meta": {
    "aggregates": [
      {
        "agg_type": "sum",
        "field": "infra_host_committed_cost",
        "value": "number"
      }
    ],
    "pagination": {
      "next_record_id": "string"
    }
  }
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_month="CHANGE_ME"
export end_month="CHANGE_ME"
export fields="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/cost_by_tag/monthly_cost_attribution?start_month=${start_month}&end_month=${end_month}&fields=${fields}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get Monthly Cost Attribution returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
configuration.unstable_operations["get_monthly_cost_attribution"] = True
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_monthly_cost_attribution(
        start_month=(datetime.now() + relativedelta(days=-5)),
        end_month=(datetime.now() + relativedelta(days=-3)),
        fields="infra_host_total_cost",
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get Monthly Cost Attribution returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.unstable_operations["v2.get_monthly_cost_attribution".to_sym] = true
end
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
p api_instance.get_monthly_cost_attribution((Time.now + -5 * 86400), (Time.now + -3 * 86400), "infra_host_total_cost")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get Monthly Cost Attribution returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.GetMonthlyCostAttribution", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetMonthlyCostAttribution(ctx, time.Now().AddDate(0, 0, -5), time.Now().AddDate(0, 0, -3), "infra_host_total_cost", *datadogV2.NewGetMonthlyCostAttributionOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetMonthlyCostAttribution`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetMonthlyCostAttribution`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get Monthly Cost Attribution returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.model.MonthlyCostAttributionResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setUnstableOperationEnabled("v2.getMonthlyCostAttribution", true);
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      MonthlyCostAttributionResponse result =
          apiInstance.getMonthlyCostAttribution(
              OffsetDateTime.now().plusDays(-5),
              OffsetDateTime.now().plusDays(-3),
              "infra_host_total_cost");
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getMonthlyCostAttribution");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get Monthly Cost Attribution returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
configuration.unstableOperations["v2.getMonthlyCostAttribution"] = true;
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetMonthlyCostAttributionRequest = {
  startMonth: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endMonth: new Date(new Date().getTime() + -3 * 86400 * 1000),
  fields: "infra_host_total_cost",
};

apiInstance
  .getMonthlyCostAttribution(params)
  .then((data: v2.MonthlyCostAttributionResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get estimated cost across your account

GET https://api.ap1.datadoghq.com/api/v2/usage/estimated_costhttps://api.datadoghq.eu/api/v2/usage/estimated_costhttps://api.ddog-gov.com/api/v2/usage/estimated_costhttps://api.datadoghq.com/api/v2/usage/estimated_costhttps://api.us3.datadoghq.com/api/v2/usage/estimated_costhttps://api.us5.datadoghq.com/api/v2/usage/estimated_cost

Présentation

Get estimated cost across multi-org and single root-org accounts. Estimated cost data is only available for the current month and previous month and is delayed by up to 72 hours from when it was incurred. To access historical costs prior to this, use the /historical_cost endpoint.

This endpoint is only accessible for parent-level organizations.

This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

view

string

String to specify whether cost is broken down at a parent-org level or at the sub-org level. Available views are summary and sub-org. Defaults to summary.

start_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost beginning this month. Either start_month or start_date should be specified, but not both. (start_month cannot go beyond two months in the past). Provide an end_month to view month-over-month cost.

end_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost ending this month.

start_date

string

Datetime in ISO-8601 format, UTC, precise to day: [YYYY-MM-DD] for cost beginning this day. Either start_month or start_date should be specified, but not both. (start_date cannot go beyond two months in the past). Provide an end_date to view day-over-day cumulative cost.

end_date

string

Datetime in ISO-8601 format, UTC, precise to day: [YYYY-MM-DD] for cost ending this day.

Réponse

OK

Chargeback Summary response.

Expand All

Champ

Type

Description

data

[object]

Response containing Chargeback Summary.

attributes

object

Cost attributes data.

charges

[object]

List of charges data reported for the requested month.

charge_type

string

The type of charge for a particular product.

cost

double

The cost for a particular product and charge type during a given month.

product_name

string

The product for which cost is being reported.

date

date-time

The month requested.

org_name

string

The organization name.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

total_cost

double

The total cost of products for the month.

id

string

Unique ID of the response.

type

enum

Type of cost data. Allowed enum values: cost_by_org

default: cost_by_org

{
  "data": [
    {
      "attributes": {
        "charges": [
          {
            "charge_type": "on_demand",
            "cost": "number",
            "product_name": "infra_host"
          }
        ],
        "date": "2019-09-19T10:00:00.000Z",
        "org_name": "string",
        "public_id": "string",
        "region": "string",
        "total_cost": "number"
      },
      "id": "string",
      "type": "cost_by_org"
    }
  ]
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/estimated_cost" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get estimated cost across your account returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_estimated_cost_by_org()

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get estimated cost across your account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
p api_instance.get_estimated_cost_by_org()

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get estimated cost across your account returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetEstimatedCostByOrg(ctx, *datadogV2.NewGetEstimatedCostByOrgOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetEstimatedCostByOrg`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetEstimatedCostByOrg`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get estimated cost across your account returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.model.CostByOrgResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      CostByOrgResponse result = apiInstance.getEstimatedCostByOrg();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getEstimatedCostByOrg");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get estimated cost across your account returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

apiInstance
  .getEstimatedCostByOrg()
  .then((data: v2.CostByOrgResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get all custom metrics by hourly average

GET https://api.ap1.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.datadoghq.eu/api/v1/usage/top_avg_metricshttps://api.ddog-gov.com/api/v1/usage/top_avg_metricshttps://api.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.us3.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.us5.datadoghq.com/api/v1/usage/top_avg_metrics

Présentation

Récupérez toutes les métriques custom selon la moyenne horaire. Le paramètre « month » vous permet d’obtenir une résolution des données du mois actuel, tandis que le paramètre « day » vous permet d’obtenir une résolution quotidienne. Vous devez impérativement définir l’un de ces deux paramètres (mais pas les deux). This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage beginning at this hour. (Either month or day should be specified, but not both)

day

string

Datetime in ISO-8601 format, UTC, precise to day: [YYYY-MM-DD] for usage beginning at this hour. (Either month or day should be specified, but not both)

names

array

Comma-separated list of metric names.

limit

integer

Maximum number of results to return (between 1 and 5000) - defaults to 500 results if limit not specified.

next_record_id

string

List following results with a next_record_id provided in the previous query.

Réponse

OK

Response containing the number of hourly recorded custom metrics for a given organization.

Expand All

Champ

Type

Description

metadata

object

The object containing document metadata.

day

date-time

The day value from the user request that contains the returned usage data. (If day was used the request)

month

date-time

The month value from the user request that contains the returned usage data. (If month was used the request)

pagination

object

The metadata for the current pagination.

limit

int64

Maximum amount of records to be returned.

next_record_id

string

The cursor to get the next results (if any). To make the next request, use the same parameters and add next_record_id.

total_number_of_records

int64

Total number of records.

usage

[object]

Number of hourly recorded custom metrics for a given organization.

avg_metric_hour

int64

Average number of timeseries per hour in which the metric occurs.

max_metric_hour

int64

Maximum number of timeseries per hour in which the metric occurs.

metric_category

enum

Contains the metric category. Allowed enum values: standard,custom

metric_name

string

Contains the custom metric name.

{
  "metadata": {
    "day": "2019-09-19T10:00:00.000Z",
    "month": "2019-09-19T10:00:00.000Z",
    "pagination": {
      "limit": "integer",
      "next_record_id": "string",
      "total_number_of_records": "integer"
    }
  },
  "usage": [
    {
      "avg_metric_hour": "integer",
      "max_metric_hour": "integer",
      "metric_category": "string",
      "metric_name": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get all custom metrics by hourly average returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_top_avg_metrics(
        day=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get all custom metrics by hourly average returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  day: (Time.now + -3 * 86400),
}
p api_instance.get_usage_top_avg_metrics(opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get all custom metrics by hourly average returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageTopAvgMetrics(ctx, *datadogV1.NewGetUsageTopAvgMetricsOptionalParameters().WithDay(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageTopAvgMetrics`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageTopAvgMetrics`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get all custom metrics by hourly average returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageTopAvgMetricsOptionalParameters;
import com.datadog.api.client.v1.model.UsageTopAvgMetricsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageTopAvgMetricsResponse result =
          apiInstance.getUsageTopAvgMetrics(
              new GetUsageTopAvgMetricsOptionalParameters().day(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageTopAvgMetrics");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get all custom metrics by hourly average returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageTopAvgMetricsRequest = {
  day: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageTopAvgMetrics(params)
  .then((data: v1.UsageTopAvgMetricsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get projected cost across your account

GET https://api.ap1.datadoghq.com/api/v2/usage/projected_costhttps://api.datadoghq.eu/api/v2/usage/projected_costhttps://api.ddog-gov.com/api/v2/usage/projected_costhttps://api.datadoghq.com/api/v2/usage/projected_costhttps://api.us3.datadoghq.com/api/v2/usage/projected_costhttps://api.us5.datadoghq.com/api/v2/usage/projected_cost

Présentation

Get projected cost across multi-org and single root-org accounts. Projected cost data is only available for the current month and becomes available around the 12th of the month.

This endpoint is only accessible for parent-level organizations.

This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

view

string

String to specify whether cost is broken down at a parent-org level or at the sub-org level. Available views are summary and sub-org. Defaults to summary.

Réponse

OK

Projected Cost response.

Expand All

Champ

Type

Description

data

[object]

Response containing Projected Cost.

attributes

object

Projected Cost attributes data.

charges

[object]

List of charges data reported for the requested month.

charge_type

string

The type of charge for a particular product.

cost

double

The cost for a particular product and charge type during a given month.

product_name

string

The product for which cost is being reported.

date

date-time

The month requested.

org_name

string

The organization name.

projected_total_cost

double

The total projected cost of products for the month.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

id

string

Unique ID of the response.

type

enum

Type of cost data. Allowed enum values: projected_cost

default: projected_cost

{
  "data": [
    {
      "attributes": {
        "charges": [
          {
            "charge_type": "on_demand",
            "cost": "number",
            "product_name": "infra_host"
          }
        ],
        "date": "2019-09-19T10:00:00.000Z",
        "org_name": "string",
        "projected_total_cost": "number",
        "public_id": "string",
        "region": "string"
      },
      "id": "string",
      "type": "projected_cost"
    }
  ]
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/projected_cost" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get projected cost across your account returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_projected_cost(
        view="sub-org",
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get projected cost across your account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
opts = {
  view: "sub-org",
}
p api_instance.get_projected_cost(opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get projected cost across your account returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetProjectedCost(ctx, *datadogV2.NewGetProjectedCostOptionalParameters().WithView("sub-org"))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetProjectedCost`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetProjectedCost`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get projected cost across your account returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.api.UsageMeteringApi.GetProjectedCostOptionalParameters;
import com.datadog.api.client.v2.model.ProjectedCostResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      ProjectedCostResponse result =
          apiInstance.getProjectedCost(new GetProjectedCostOptionalParameters().view("sub-org"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getProjectedCost");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get projected cost across your account returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetProjectedCostRequest = {
  view: "sub-org",
};

apiInstance
  .getProjectedCost(params)
  .then((data: v2.ProjectedCostResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get usage across your account

GET https://api.ap1.datadoghq.com/api/v1/usage/summaryhttps://api.datadoghq.eu/api/v1/usage/summaryhttps://api.ddog-gov.com/api/v1/usage/summaryhttps://api.datadoghq.com/api/v1/usage/summaryhttps://api.us3.datadoghq.com/api/v1/usage/summaryhttps://api.us5.datadoghq.com/api/v1/usage/summary

Présentation

Récupérez les données d’utilisation de votre compte multi-org. La fonctionnalité multi-org doit être activée. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_month [required]

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage beginning in this month. Maximum of 15 months ago.

end_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage ending this month.

include_org_details

boolean

Include usage summaries for each sub-org.

Réponse

OK

Response summarizing all usage aggregated across the months in the request for all organizations, and broken down by month and by organization.

Expand All

Champ

Type

Description

agent_host_top99p_sum

int64

Shows the 99th percentile of all agent hosts over all hours in the current month for all organizations.

apm_azure_app_service_host_top99p_sum

int64

Shows the 99th percentile of all Azure app services using APM over all hours in the current month all organizations.

apm_devsecops_host_top99p_sum

int64

Shows the 99th percentile of all APM DevSecOps hosts over all hours in the current month for all organizations.

apm_fargate_count_avg_sum

int64

Shows the average of all APM ECS Fargate tasks over all hours in the current month for all organizations.

apm_host_top99p_sum

int64

Shows the 99th percentile of all distinct APM hosts over all hours in the current month for all organizations.

appsec_fargate_count_avg_sum

int64

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current month for all organizations.

asm_serverless_agg_sum

int64

Shows the sum of all Application Security Monitoring Serverless invocations over all hours in the current months for all organizations.

audit_logs_lines_indexed_agg_sum

int64

DEPRECATED: Shows the sum of all audit logs lines indexed over all hours in the current month for all organizations.

audit_trail_enabled_hwm_sum

int64

Shows the total number of organizations that had Audit Trail enabled over a specific number of months.

avg_profiled_fargate_tasks_sum

int64

Shows the average of all profiled Fargate tasks over all hours in the current month for all organizations.

aws_host_top99p_sum

int64

Shows the 99th percentile of all AWS hosts over all hours in the current month for all organizations.

aws_lambda_func_count

int64

Shows the average of the number of functions that executed 1 or more times each hour in the current month for all organizations.

aws_lambda_invocations_sum

int64

Shows the sum of all AWS Lambda invocations over all hours in the current month for all organizations.

azure_app_service_top99p_sum

int64

Shows the 99th percentile of all Azure app services over all hours in the current month for all organizations.

azure_host_top99p_sum

int64

Shows the 99th percentile of all Azure hosts over all hours in the current month for all organizations.

billable_ingested_bytes_agg_sum

int64

Shows the sum of all log bytes ingested over all hours in the current month for all organizations.

browser_rum_lite_session_count_agg_sum

int64

Shows the sum of all browser lite sessions over all hours in the current month for all organizations.

browser_rum_replay_session_count_agg_sum

int64

Shows the sum of all browser replay sessions over all hours in the current month for all organizations.

browser_rum_units_agg_sum

int64

Shows the sum of all browser RUM units over all hours in the current month for all organizations.

ci_pipeline_indexed_spans_agg_sum

int64

Shows the sum of all CI pipeline indexed spans over all hours in the current month for all organizations.

ci_test_indexed_spans_agg_sum

int64

Shows the sum of all CI test indexed spans over all hours in the current month for all organizations.

ci_visibility_itr_committers_hwm_sum

int64

Shows the high-water mark of all CI visibility intelligent test runner committers over all hours in the current month for all organizations.

ci_visibility_pipeline_committers_hwm_sum

int64

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current month for all organizations.

ci_visibility_test_committers_hwm_sum

int64

Shows the high-water mark of all CI visibility test committers over all hours in the current month for all organizations.

cloud_cost_management_aws_host_count_avg_sum

int64

Sum of the host count average for Cloud Cost Management for AWS.

cloud_cost_management_azure_host_count_avg_sum

int64

Sum of the host count average for Cloud Cost Management for Azure.

cloud_cost_management_gcp_host_count_avg_sum

int64

Sum of the host count average for Cloud Cost Management for GCP.

cloud_cost_management_host_count_avg_sum

int64

Sum of the host count average for Cloud Cost Management for all cloud providers.

cloud_siem_events_agg_sum

int64

Shows the sum of all Cloud Security Information and Event Management events over all hours in the current month for all organizations.

container_avg_sum

int64

Shows the average of all distinct containers over all hours in the current month for all organizations.

container_excl_agent_avg_sum

int64

Shows the average of the containers without the Datadog Agent over all hours in the current month for all organizations.

container_hwm_sum

int64

Shows the sum of the high-water marks of all distinct containers over all hours in the current month for all organizations.

csm_container_enterprise_compliance_count_agg_sum

int64

Shows the sum of all Cloud Security Management Enterprise compliance containers over all hours in the current month for all organizations.

csm_container_enterprise_cws_count_agg_sum

int64

Shows the sum of all Cloud Security Management Enterprise Cloud Workload Security containers over all hours in the current month for all organizations.

csm_container_enterprise_total_count_agg_sum

int64

Shows the sum of all Cloud Security Management Enterprise containers over all hours in the current month for all organizations.

csm_host_enterprise_aas_host_count_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Enterprise Azure app services hosts over all hours in the current month for all organizations.

csm_host_enterprise_aws_host_count_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Enterprise AWS hosts over all hours in the current month for all organizations.

csm_host_enterprise_azure_host_count_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Enterprise Azure hosts over all hours in the current month for all organizations.

csm_host_enterprise_compliance_host_count_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Enterprise compliance hosts over all hours in the current month for all organizations.

csm_host_enterprise_cws_host_count_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Enterprise Cloud Workload Security hosts over all hours in the current month for all organizations.

csm_host_enterprise_gcp_host_count_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Enterprise GCP hosts over all hours in the current month for all organizations.

csm_host_enterprise_total_host_count_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Enterprise hosts over all hours in the current month for all organizations.

cspm_aas_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Pro Azure app services hosts over all hours in the current month for all organizations.

cspm_aws_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Pro AWS hosts over all hours in the current month for all organizations.

cspm_azure_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Pro Azure hosts over all hours in the current month for all organizations.

cspm_container_avg_sum

int64

Shows the average number of Cloud Security Management Pro containers over all hours in the current month for all organizations.

cspm_container_hwm_sum

int64

Shows the sum of the the high-water marks of Cloud Security Management Pro containers over all hours in the current month for all organizations.

cspm_gcp_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Pro GCP hosts over all hours in the current month for all organizations.

cspm_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Management Pro hosts over all hours in the current month for all organizations.

custom_historical_ts_sum

int64

Shows the average number of distinct historical custom metrics over all hours in the current month for all organizations.

custom_live_ts_sum

int64

Shows the average number of distinct live custom metrics over all hours in the current month for all organizations.

custom_ts_sum

int64

Shows the average number of distinct custom metrics over all hours in the current month for all organizations.

cws_containers_avg_sum

int64

Shows the average of all distinct Cloud Workload Security containers over all hours in the current month for all organizations.

cws_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current month for all organizations.

dbm_host_top99p_sum

int64

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current month for all organizations.

dbm_queries_avg_sum

int64

Shows the average of all distinct Database Monitoring Normalized Queries over all hours in the current month for all organizations.

end_date

date-time

Shows the last date of usage in the current month for all organizations.

error_tracking_events_agg_sum

int64

Shows the sum of all Error Tracking events over all hours in the current months for all organizations.

fargate_tasks_count_avg_sum

int64

Shows the average of all Fargate tasks over all hours in the current month for all organizations.

fargate_tasks_count_hwm_sum

int64

Shows the sum of the high-water marks of all Fargate tasks over all hours in the current month for all organizations.

flex_logs_compute_large_avg_sum

int64

Shows the average number of Flex Logs Compute Large Instances over all hours in the current months for all organizations.

flex_logs_compute_medium_avg_sum

int64

Shows the average number of Flex Logs Compute Medium Instances over all hours in the current months for all organizations.

flex_logs_compute_small_avg_sum

int64

Shows the average number of Flex Logs Compute Small Instances over all hours in the current months for all organizations.

flex_logs_compute_xsmall_avg_sum

int64

Shows the average number of Flex Logs Compute Extra Small Instances over all hours in the current months for all organizations.

flex_stored_logs_avg_sum

int64

Shows the average of all Flex Stored Logs over all hours in the current months for all organizations.

forwarding_events_bytes_agg_sum

int64

Shows the sum of all logs forwarding bytes over all hours in the current month for all organizations (data available as of April 1, 2023)

gcp_host_top99p_sum

int64

Shows the 99th percentile of all GCP hosts over all hours in the current month for all organizations.

heroku_host_top99p_sum

int64

Shows the 99th percentile of all Heroku dynos over all hours in the current month for all organizations.

incident_management_monthly_active_users_hwm_sum

int64

Shows sum of the the high-water marks of incident management monthly active users in the current month for all organizations.

indexed_events_count_agg_sum

int64

Shows the sum of all log events indexed over all hours in the current month for all organizations.

infra_host_top99p_sum

int64

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current month for all organizations.

ingested_events_bytes_agg_sum

int64

Shows the sum of all log bytes ingested over all hours in the current month for all organizations.

iot_device_agg_sum

int64

Shows the sum of all IoT devices over all hours in the current month for all organizations.

iot_device_top99p_sum

int64

Shows the 99th percentile of all IoT devices over all hours in the current month of all organizations.

last_updated

date-time

Shows the the most recent hour in the current month for all organizations for which all usages were calculated.

live_indexed_events_agg_sum

int64

Shows the sum of all live logs indexed over all hours in the current month for all organizations (data available as of December 1, 2020).

live_ingested_bytes_agg_sum

int64

Shows the sum of all live logs bytes ingested over all hours in the current month for all organizations (data available as of December 1, 2020).

logs_by_retention

object

Object containing logs usage data broken down by retention period.

orgs

object

Indexed logs usage summary for each organization for each retention period with usage.

usage

[object]

Indexed logs usage summary for each organization.

usage

[object]

Indexed logs usage for each active retention for the organization.

logs_indexed_logs_usage_sum

int64

Total indexed logs for this retention period.

logs_live_indexed_logs_usage_sum

int64

Live indexed logs for this retention period.

logs_rehydrated_indexed_logs_usage_sum

int64

Rehydrated indexed logs for this retention period.

retention

string

The retention period in days or "custom" for all custom retention periods.

usage

[object]

Aggregated index logs usage for each retention period with usage.

logs_indexed_logs_usage_agg_sum

int64

Total indexed logs for this retention period.

logs_live_indexed_logs_usage_agg_sum

int64

Live indexed logs for this retention period.

logs_rehydrated_indexed_logs_usage_agg_sum

int64

Rehydrated indexed logs for this retention period.

retention

string

The retention period in days or "custom" for all custom retention periods.

usage_by_month

object

Object containing a summary of indexed logs usage by retention period for a single month.

date

date-time

The month for the usage.

usage

[object]

Indexed logs usage for each active retention for the month.

logs_indexed_logs_usage_sum

int64

Total indexed logs for this retention period.

logs_live_indexed_logs_usage_sum

int64

Live indexed logs for this retention period.

logs_rehydrated_indexed_logs_usage_sum

int64

Rehydrated indexed logs for this retention period.

retention

string

The retention period in days or "custom" for all custom retention periods.

mobile_rum_lite_session_count_agg_sum

int64

Shows the sum of all mobile lite sessions over all hours in the current month for all organizations.

mobile_rum_session_count_agg_sum

int64

Shows the sum of all mobile RUM Sessions over all hours in the current month for all organizations.

mobile_rum_session_count_android_agg_sum

int64

Shows the sum of all mobile RUM Sessions on Android over all hours in the current month for all organizations.

mobile_rum_session_count_flutter_agg_sum

int64

Shows the sum of all mobile RUM Sessions on Flutter over all hours in the current month for all organizations.

mobile_rum_session_count_ios_agg_sum

int64

Shows the sum of all mobile RUM Sessions on iOS over all hours in the current month for all organizations.

mobile_rum_session_count_reactnative_agg_sum

int64

Shows the sum of all mobile RUM Sessions on React Native over all hours in the current month for all organizations.

mobile_rum_session_count_roku_agg_sum

int64

Shows the sum of all mobile RUM Sessions on Roku over all hours in the current month for all organizations.

mobile_rum_units_agg_sum

int64

Shows the sum of all mobile RUM units over all hours in the current month for all organizations.

ndm_netflow_events_agg_sum

int64

Shows the sum of all Network Device Monitoring NetFlow events over all hours in the current month for all organizations.

netflow_indexed_events_count_agg_sum

int64

Shows the sum of all Network flows indexed over all hours in the current month for all organizations.

npm_host_top99p_sum

int64

Shows the 99th percentile of all distinct Networks hosts over all hours in the current month for all organizations.

observability_pipelines_bytes_processed_agg_sum

int64

Sum of all observability pipelines bytes processed over all hours in the current month for all organizations.

online_archive_events_count_agg_sum

int64

Sum of all online archived events over all hours in the current month for all organizations.

opentelemetry_apm_host_top99p_sum

int64

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

opentelemetry_host_top99p_sum

int64

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

profiling_aas_count_top99p_sum

int64

Shows the 99th percentile of all profiled Azure app services over all hours in the current month for all organizations.

profiling_container_agent_count_avg

int64

Shows the average number of profiled containers over all hours in the current month for all organizations.

profiling_host_count_top99p_sum

int64

Shows the 99th percentile of all profiled hosts over all hours in the current month for all organizations.

rehydrated_indexed_events_agg_sum

int64

Shows the sum of all rehydrated logs indexed over all hours in the current month for all organizations (data available as of December 1, 2020).

rehydrated_ingested_bytes_agg_sum

int64

Shows the sum of all rehydrated logs bytes ingested over all hours in the current month for all organizations (data available as of December 1, 2020).

rum_browser_and_mobile_session_count

int64

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current month for all organizations.

rum_session_count_agg_sum

int64

Shows the sum of all browser RUM Lite Sessions over all hours in the current month for all organizations.

rum_total_session_count_agg_sum

int64

Shows the sum of RUM Sessions (browser and mobile) over all hours in the current month for all organizations.

rum_units_agg_sum

int64

Shows the sum of all browser and mobile RUM units over all hours in the current month for all organizations.

sds_apm_scanned_bytes_sum

int64

Sum of all APM bytes scanned with sensitive data scanner in the current month for all organizations.

sds_events_scanned_bytes_sum

int64

Sum of all event stream events bytes scanned with sensitive data scanner in the current month for all organizations.

sds_logs_scanned_bytes_sum

int64

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for all organizations.

sds_rum_scanned_bytes_sum

int64

Sum of all RUM bytes scanned with sensitive data scanner in the current month for all organizations.

sds_total_scanned_bytes_sum

int64

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for all organizations.

serverless_apps_azure_count_avg_sum

int64

Sum of the average number of Serverless Apps for Azure in the current month for all organizations.

serverless_apps_google_count_avg_sum

int64

Sum of the average number of Serverless Apps for Google Cloud in the current month for all organizations.

serverless_apps_total_count_avg_sum

int64

Sum of the average number of Serverless Apps for Azure and Google Cloud in the current month for all organizations.

start_date

date-time

Shows the first date of usage in the current month for all organizations.

synthetics_browser_check_calls_count_agg_sum

int64

Shows the sum of all Synthetic browser tests over all hours in the current month for all organizations.

synthetics_check_calls_count_agg_sum

int64

Shows the sum of all Synthetic API tests over all hours in the current month for all organizations.

synthetics_mobile_test_runs_agg_sum

int64

Shows the sum of Synthetic mobile application tests over all hours in the current month for all organizations.

synthetics_parallel_testing_max_slots_hwm_sum

int64

Shows the sum of the high-water marks of used synthetics parallel testing slots over all hours in the current month for all organizations.

trace_search_indexed_events_count_agg_sum

int64

Shows the sum of all Indexed Spans indexed over all hours in the current month for all organizations.

twol_ingested_events_bytes_agg_sum

int64

Shows the sum of all ingested APM span bytes over all hours in the current month for all organizations.

universal_service_monitoring_host_top99p_sum

int64

Shows the 99th percentile of all Universal Service Monitoring hosts over all hours in the current month for all organizations.

usage

[object]

An array of objects regarding hourly usage.

agent_host_top99p

int64

Shows the 99th percentile of all agent hosts over all hours in the current date for all organizations.

apm_azure_app_service_host_top99p

int64

Shows the 99th percentile of all Azure app services using APM over all hours in the current date all organizations.

apm_devsecops_host_top99p

int64

Shows the 99th percentile of all APM DevSecOps hosts over all hours in the current date for the given org.

apm_fargate_count_avg

int64

Shows the average of all APM ECS Fargate tasks over all hours in the current date for all organizations.

apm_host_top99p

int64

Shows the 99th percentile of all distinct APM hosts over all hours in the current date for all organizations.

appsec_fargate_count_avg

int64

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current date for all organizations.

asm_serverless_sum

int64

Shows the sum of all Application Security Monitoring Serverless invocations over all hours in the current date for all organizations.

audit_logs_lines_indexed_sum

int64

DEPRECATED: Shows the sum of audit logs lines indexed over all hours in the current date for all organizations.

audit_trail_enabled_hwm

int64

Shows the number of organizations that had Audit Trail enabled in the current date.

avg_profiled_fargate_tasks

int64

The average profiled task count for Fargate Profiling.

aws_host_top99p

int64

Shows the 99th percentile of all AWS hosts over all hours in the current date for all organizations.

aws_lambda_func_count

int64

Shows the average of the number of functions that executed 1 or more times each hour in the current date for all organizations.

aws_lambda_invocations_sum

int64

Shows the sum of all AWS Lambda invocations over all hours in the current date for all organizations.

azure_app_service_top99p

int64

Shows the 99th percentile of all Azure app services over all hours in the current date for all organizations.

billable_ingested_bytes_sum

int64

Shows the sum of all log bytes ingested over all hours in the current date for all organizations.

browser_rum_lite_session_count_sum

int64

Shows the sum of all browser lite sessions over all hours in the current date for all organizations.

browser_rum_replay_session_count_sum

int64

Shows the sum of all browser replay sessions over all hours in the current date for all organizations.

browser_rum_units_sum

int64

Shows the sum of all browser RUM units over all hours in the current date for all organizations.

ci_pipeline_indexed_spans_sum

int64

Shows the sum of all CI pipeline indexed spans over all hours in the current month for all organizations.

ci_test_indexed_spans_sum

int64

Shows the sum of all CI test indexed spans over all hours in the current month for all organizations.

ci_visibility_itr_committers_hwm

int64

Shows the high-water mark of all CI visibility intelligent test runner committers over all hours in the current month for all organizations.

ci_visibility_pipeline_committers_hwm

int64

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current month for all organizations.

ci_visibility_test_committers_hwm

int64

Shows the high-water mark of all CI visibility test committers over all hours in the current month for all organizations.

cloud_cost_management_aws_host_count_avg

int64

Host count average of Cloud Cost Management for AWS for the given date and given organization.

cloud_cost_management_azure_host_count_avg

int64

Host count average of Cloud Cost Management for Azure for the given date and given organization.

cloud_cost_management_gcp_host_count_avg

int64

Host count average of Cloud Cost Management for GCP for the given date and given organization.

cloud_cost_management_host_count_avg

int64

Host count average of Cloud Cost Management for all cloud providers for the given date and given organization.

cloud_siem_events_sum

int64

Shows the sum of all Cloud Security Information and Event Management events over all hours in the current date for the given org.

container_avg

int64

Shows the average of all distinct containers over all hours in the current date for all organizations.

container_excl_agent_avg

int64

Shows the average of containers without the Datadog Agent over all hours in the current date for all organizations.

container_hwm

int64

Shows the high-water mark of all distinct containers over all hours in the current date for all organizations.

csm_container_enterprise_compliance_count_sum

int64

Shows the sum of all Cloud Security Management Enterprise compliance containers over all hours in the current date for the given org.

csm_container_enterprise_cws_count_sum

int64

Shows the sum of all Cloud Security Management Enterprise Cloud Workload Security containers over all hours in the current date for the given org.

csm_container_enterprise_total_count_sum

int64

Shows the sum of all Cloud Security Management Enterprise containers over all hours in the current date for the given org.

csm_host_enterprise_aas_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise Azure app services hosts over all hours in the current date for the given org.

csm_host_enterprise_aws_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise AWS hosts over all hours in the current date for the given org.

csm_host_enterprise_azure_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise Azure hosts over all hours in the current date for the given org.

csm_host_enterprise_compliance_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise compliance hosts over all hours in the current date for the given org.

csm_host_enterprise_cws_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise Cloud Workload Security hosts over all hours in the current date for the given org.

csm_host_enterprise_gcp_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise GCP hosts over all hours in the current date for the given org.

csm_host_enterprise_total_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise hosts over all hours in the current date for the given org.

cspm_aas_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro Azure app services hosts over all hours in the current date for all organizations.

cspm_aws_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro AWS hosts over all hours in the current date for all organizations.

cspm_azure_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro Azure hosts over all hours in the current date for all organizations.

cspm_container_avg

int64

Shows the average number of Cloud Security Management Pro containers over all hours in the current date for all organizations.

cspm_container_hwm

int64

Shows the high-water mark of Cloud Security Management Pro containers over all hours in the current date for all organizations.

cspm_gcp_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro GCP hosts over all hours in the current date for all organizations.

cspm_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro hosts over all hours in the current date for all organizations.

custom_ts_avg

int64

Shows the average number of distinct custom metrics over all hours in the current date for all organizations.

cws_container_count_avg

int64

Shows the average of all distinct Cloud Workload Security containers over all hours in the current date for all organizations.

cws_host_top99p

int64

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current date for all organizations.

date

date-time

The date for the usage.

dbm_host_top99p

int64

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current date for all organizations.

dbm_queries_count_avg

int64

Shows the average of all normalized Database Monitoring queries over all hours in the current date for all organizations.

error_tracking_events_sum

int64

Shows the sum of all Error Tracking events over all hours in the current date for the given org.

fargate_tasks_count_avg

int64

Shows the high-watermark of all Fargate tasks over all hours in the current date for all organizations.

fargate_tasks_count_hwm

int64

Shows the average of all Fargate tasks over all hours in the current date for all organizations.

flex_logs_compute_large_avg

int64

Shows the average number of Flex Logs Compute Large Instances over all hours in the current date for the given org.

flex_logs_compute_medium_avg

int64

Shows the average number of Flex Logs Compute Medium Instances over all hours in the current date for the given org.

flex_logs_compute_small_avg

int64

Shows the average number of Flex Logs Compute Small Instances over all hours in the current date for the given org.

flex_logs_compute_xsmall_avg

int64

Shows the average number of Flex Logs Compute Extra Small Instances over all hours in the current date for the given org.

flex_stored_logs_avg

int64

Shows the average of all Flex Stored Logs over all hours in the current date for the given org.

forwarding_events_bytes_sum

int64

Shows the sum of all log bytes forwarded over all hours in the current date for all organizations.

gcp_host_top99p

int64

Shows the 99th percentile of all GCP hosts over all hours in the current date for all organizations.

heroku_host_top99p

int64

Shows the 99th percentile of all Heroku dynos over all hours in the current date for all organizations.

incident_management_monthly_active_users_hwm

int64

Shows the high-water mark of incident management monthly active users over all hours in the current date for all organizations.

indexed_events_count_sum

int64

Shows the sum of all log events indexed over all hours in the current date for all organizations.

infra_host_top99p

int64

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current date for all organizations.

ingested_events_bytes_sum

int64

Shows the sum of all log bytes ingested over all hours in the current date for all organizations.

iot_device_sum

int64

Shows the sum of all IoT devices over all hours in the current date for all organizations.

iot_device_top99p

int64

Shows the 99th percentile of all IoT devices over all hours in the current date all organizations.

mobile_rum_lite_session_count_sum

int64

Shows the sum of all mobile lite sessions over all hours in the current date for all organizations.

mobile_rum_session_count_android_sum

int64

Shows the sum of all mobile RUM Sessions on Android over all hours in the current date for all organizations.

mobile_rum_session_count_flutter_sum

int64

Shows the sum of all mobile RUM Sessions on Flutter over all hours in the current date for all organizations.

mobile_rum_session_count_ios_sum

int64

Shows the sum of all mobile RUM Sessions on iOS over all hours in the current date for all organizations.

mobile_rum_session_count_reactnative_sum

int64

Shows the sum of all mobile RUM Sessions on React Native over all hours in the current date for all organizations.

mobile_rum_session_count_roku_sum

int64

Shows the sum of all mobile RUM Sessions on Roku over all hours in the current date for all organizations.

mobile_rum_session_count_sum

int64

Shows the sum of all mobile RUM Sessions over all hours in the current date for all organizations

mobile_rum_units_sum

int64

Shows the sum of all mobile RUM units over all hours in the current date for all organizations.

ndm_netflow_events_sum

int64

Shows the sum of all Network Device Monitoring NetFlow events over all hours in the current date for the given org.

netflow_indexed_events_count_sum

int64

Shows the sum of all Network flows indexed over all hours in the current date for all organizations.

npm_host_top99p

int64

Shows the 99th percentile of all distinct Networks hosts over all hours in the current date for all organizations.

observability_pipelines_bytes_processed_sum

int64

Sum of all observability pipelines bytes processed over all hours in the current date for the given org.

online_archive_events_count_sum

int64

Sum of all online archived events over all hours in the current date for all organizations.

opentelemetry_apm_host_top99p

int64

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for all organizations.

opentelemetry_host_top99p

int64

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for all organizations.

orgs

[object]

Organizations associated with a user.

agent_host_top99p

int64

Shows the 99th percentile of all agent hosts over all hours in the current date for the given org.

apm_azure_app_service_host_top99p

int64

Shows the 99th percentile of all Azure app services using APM over all hours in the current date for the given org.

apm_devsecops_host_top99p

int64

Shows the 99th percentile of all APM DevSecOps hosts over all hours in the current date for the given org.

apm_fargate_count_avg

int64

Shows the average of all APM ECS Fargate tasks over all hours in the current month for the given org.

apm_host_top99p

int64

Shows the 99th percentile of all distinct APM hosts over all hours in the current date for the given org.

appsec_fargate_count_avg

int64

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current month for the given org.

asm_serverless_sum

int64

Shows the sum of all Application Security Monitoring Serverless invocations over all hours in the current month for the given org.

audit_logs_lines_indexed_sum

int64

DEPRECATED: Shows the sum of all audit logs lines indexed over all hours in the current date for the given org.

audit_trail_enabled_hwm

int64

Shows whether Audit Trail is enabled for the current date for the given org.

avg_profiled_fargate_tasks

int64

The average profiled task count for Fargate Profiling.

aws_host_top99p

int64

Shows the 99th percentile of all AWS hosts over all hours in the current date for the given org.

aws_lambda_func_count

int64

Shows the sum of all AWS Lambda invocations over all hours in the current date for the given org.

aws_lambda_invocations_sum

int64

Shows the sum of all AWS Lambda invocations over all hours in the current date for the given org.

azure_app_service_top99p

int64

Shows the 99th percentile of all Azure app services over all hours in the current date for the given org.

billable_ingested_bytes_sum

int64

Shows the sum of all log bytes ingested over all hours in the current date for the given org.

browser_rum_lite_session_count_sum

int64

Shows the sum of all browser lite sessions over all hours in the current date for the given org.

browser_rum_replay_session_count_sum

int64

Shows the sum of all browser replay sessions over all hours in the current date for the given org.

browser_rum_units_sum

int64

Shows the sum of all browser RUM units over all hours in the current date for the given org.

ci_pipeline_indexed_spans_sum

int64

Shows the sum of all CI pipeline indexed spans over all hours in the current date for the given org.

ci_test_indexed_spans_sum

int64

Shows the sum of all CI test indexed spans over all hours in the current date for the given org.

ci_visibility_itr_committers_hwm

int64

Shows the high-water mark of all CI visibility intelligent test runner committers over all hours in the current date for the given org.

ci_visibility_pipeline_committers_hwm

int64

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current date for the given org.

ci_visibility_test_committers_hwm

int64

Shows the high-water mark of all CI visibility test committers over all hours in the current date for the given org.

cloud_cost_management_aws_host_count_avg

int64

Host count average of Cloud Cost Management for AWS for the given date and given org.

cloud_cost_management_azure_host_count_avg

int64

Host count average of Cloud Cost Management for Azure for the given date and given org.

cloud_cost_management_gcp_host_count_avg

int64

Host count average of Cloud Cost Management for GCP for the given date and given org.

cloud_cost_management_host_count_avg

int64

Host count average of Cloud Cost Management for all cloud providers for the given date and given org.

cloud_siem_events_sum

int64

Shows the sum of all Cloud Security Information and Event Management events over all hours in the current date for the given org.

container_avg

int64

Shows the average of all distinct containers over all hours in the current date for the given org.

container_excl_agent_avg

int64

Shows the average of containers without the Datadog Agent over all hours in the current date for the given organization.

container_hwm

int64

Shows the high-water mark of all distinct containers over all hours in the current date for the given org.

csm_container_enterprise_compliance_count_sum

int64

Shows the sum of all Cloud Security Management Enterprise compliance containers over all hours in the current date for the given org.

csm_container_enterprise_cws_count_sum

int64

Shows the sum of all Cloud Security Management Enterprise Cloud Workload Security containers over all hours in the current date for the given org.

csm_container_enterprise_total_count_sum

int64

Shows the sum of all Cloud Security Management Enterprise containers over all hours in the current date for the given org.

csm_host_enterprise_aas_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise Azure app services hosts over all hours in the current date for the given org.

csm_host_enterprise_aws_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise AWS hosts over all hours in the current date for the given org.

csm_host_enterprise_azure_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise Azure hosts over all hours in the current date for the given org.

csm_host_enterprise_compliance_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise compliance hosts over all hours in the current date for the given org.

csm_host_enterprise_cws_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise Cloud Workload Security hosts over all hours in the current date for the given org.

csm_host_enterprise_gcp_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise GCP hosts over all hours in the current date for the given org.

csm_host_enterprise_total_host_count_top99p

int64

Shows the 99th percentile of all Cloud Security Management Enterprise hosts over all hours in the current date for the given org.

cspm_aas_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro Azure app services hosts over all hours in the current date for the given org.

cspm_aws_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro AWS hosts over all hours in the current date for the given org.

cspm_azure_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro Azure hosts over all hours in the current date for the given org.

cspm_container_avg

int64

Shows the average number of Cloud Security Management Pro containers over all hours in the current date for the given org.

cspm_container_hwm

int64

Shows the high-water mark of Cloud Security Management Pro containers over all hours in the current date for the given org.

cspm_gcp_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro GCP hosts over all hours in the current date for the given org.

cspm_host_top99p

int64

Shows the 99th percentile of all Cloud Security Management Pro hosts over all hours in the current date for the given org.

custom_historical_ts_avg

int64

Shows the average number of distinct historical custom metrics over all hours in the current date for the given org.

custom_live_ts_avg

int64

Shows the average number of distinct live custom metrics over all hours in the current date for the given org.

custom_ts_avg

int64

Shows the average number of distinct custom metrics over all hours in the current date for the given org.

cws_container_count_avg

int64

Shows the average of all distinct Cloud Workload Security containers over all hours in the current date for the given org.

cws_host_top99p

int64

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current date for the given org.

dbm_host_top99p_sum

int64

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current month for the given org.

dbm_queries_avg_sum

int64

Shows the average of all distinct Database Monitoring normalized queries over all hours in the current month for the given org.

error_tracking_events_sum

int64

Shows the sum of all Error Tracking events over all hours in the current date for the given org.

fargate_tasks_count_avg

int64

The average task count for Fargate.

fargate_tasks_count_hwm

int64

Shows the high-water mark of all Fargate tasks over all hours in the current date for the given org.

flex_logs_compute_large_avg

int64

Shows the average number of Flex Logs Compute Large Instances over all hours in the current date for the given org.

flex_logs_compute_medium_avg

int64

Shows the average number of Flex Logs Compute Medium Instances over all hours in the current date for the given org.

flex_logs_compute_small_avg

int64

Shows the average number of Flex Logs Compute Small Instances over all hours in the current date for the given org.

flex_logs_compute_xsmall_avg

int64

Shows the average number of Flex Logs Compute Extra Small Instances over all hours in the current date for the given org.

flex_stored_logs_avg

int64

Shows the average of all Flex Stored Logs over all hours in the current date for the given org.

forwarding_events_bytes_sum

int64

Shows the sum of all log bytes forwarded over all hours in the current date for the given org.

gcp_host_top99p

int64

Shows the 99th percentile of all GCP hosts over all hours in the current date for the given org.

heroku_host_top99p

int64

Shows the 99th percentile of all Heroku dynos over all hours in the current date for the given org.

id

string

The organization id.

incident_management_monthly_active_users_hwm

int64

Shows the high-water mark of incident management monthly active users over all hours in the current date for the given org.

indexed_events_count_sum

int64

Shows the sum of all log events indexed over all hours in the current date for the given org.

infra_host_top99p

int64

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current date for the given org.

ingested_events_bytes_sum

int64

Shows the sum of all log bytes ingested over all hours in the current date for the given org.

iot_device_agg_sum

int64

Shows the sum of all IoT devices over all hours in the current date for the given org.

iot_device_top99p_sum

int64

Shows the 99th percentile of all IoT devices over all hours in the current date for the given org.

mobile_rum_lite_session_count_sum

int64

Shows the sum of all mobile lite sessions over all hours in the current date for the given org.

mobile_rum_session_count_android_sum

int64

Shows the sum of all mobile RUM Sessions on Android over all hours in the current date for the given org.

mobile_rum_session_count_flutter_sum

int64

Shows the sum of all mobile RUM Sessions on Flutter over all hours in the current date for the given org.

mobile_rum_session_count_ios_sum

int64

Shows the sum of all mobile RUM Sessions on iOS over all hours in the current date for the given org.

mobile_rum_session_count_reactnative_sum

int64

Shows the sum of all mobile RUM Sessions on React Native over all hours in the current date for the given org.

mobile_rum_session_count_roku_sum

int64

Shows the sum of all mobile RUM Sessions on Roku over all hours in the current date for the given org.

mobile_rum_session_count_sum

int64

Shows the sum of all mobile RUM Sessions over all hours in the current date for the given org.

mobile_rum_units_sum

int64

Shows the sum of all mobile RUM units over all hours in the current date for the given org.

name

string

The organization name.

ndm_netflow_events_sum

int64

Shows the sum of all Network Device Monitoring NetFlow events over all hours in the current date for the given org.

netflow_indexed_events_count_sum

int64

Shows the sum of all Network flows indexed over all hours in the current date for the given org.

npm_host_top99p

int64

Shows the 99th percentile of all distinct Networks hosts over all hours in the current date for the given org.

observability_pipelines_bytes_processed_sum

int64

Sum of all observability pipelines bytes processed over all hours in the current date for the given org.

online_archive_events_count_sum

int64

Sum of all online archived events over all hours in the current date for the given org.

opentelemetry_apm_host_top99p

int64

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

opentelemetry_host_top99p

int64

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

profiling_aas_count_top99p

int64

Shows the 99th percentile of all profiled Azure app services over all hours in the current date for all organizations.

profiling_host_top99p

int64

Shows the 99th percentile of all profiled hosts over all hours in the current date for the given org.

public_id

string

The organization public id.

region

string

The region of the organization.

rum_browser_and_mobile_session_count

int64

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current date for the given org.

rum_session_count_sum

int64

Shows the sum of all browser RUM Lite Sessions over all hours in the current date for the given org.

rum_total_session_count_sum

int64

Shows the sum of RUM Sessions (browser and mobile) over all hours in the current date for the given org.

rum_units_sum

int64

Shows the sum of all browser and mobile RUM units over all hours in the current date for the given org.

sds_apm_scanned_bytes_sum

int64

Sum of all APM bytes scanned with sensitive data scanner over all hours in the current date for the given org.

sds_events_scanned_bytes_sum

int64

Sum of all event stream events bytes scanned with sensitive data scanner over all hours in the current date for the given org.

sds_logs_scanned_bytes_sum

int64

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for the given org.

sds_rum_scanned_bytes_sum

int64

Sum of all RUM bytes scanned with sensitive data scanner over all hours in the current date for the given org.

sds_total_scanned_bytes_sum

int64

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for the given org.

serverless_apps_azure_count_avg

int64

Shows the average of the number of Serverless Apps for Azure for the given date and given org.

serverless_apps_google_count_avg

int64

Shows the average of the number of Serverless Apps for Google Cloud for the given date and given org.

serverless_apps_total_count_avg

int64

Shows the average of the number of Serverless Apps for Azure and Google Cloud for the given date and given org.

synthetics_browser_check_calls_count_sum

int64

Shows the sum of all Synthetic browser tests over all hours in the current date for the given org.

synthetics_check_calls_count_sum

int64

Shows the sum of all Synthetic API tests over all hours in the current date for the given org.

synthetics_mobile_test_runs_sum

int64

Shows the sum of all Synthetic mobile application tests over all hours in the current date for the given org.

synthetics_parallel_testing_max_slots_hwm

int64

Shows the high-water mark of used synthetics parallel testing slots over all hours in the current date for the given org.

trace_search_indexed_events_count_sum

int64

Shows the sum of all Indexed Spans indexed over all hours in the current date for the given org.

twol_ingested_events_bytes_sum

int64

Shows the sum of all ingested APM span bytes over all hours in the current date for the given org.

universal_service_monitoring_host_top99p

int64

Shows the 99th percentile of all Universal Service Monitoring hosts over all hours in the current date for the given org.

vsphere_host_top99p

int64

Shows the 99th percentile of all vSphere hosts over all hours in the current date for the given org.

vuln_management_host_count_top99p

int64

Shows the 99th percentile of all Application Vulnerability Management hosts over all hours in the current date for the given org.

workflow_executions_usage_sum

int64

Sum of all workflows executed over all hours in the current date for the given org.

profiling_aas_count_top99p

int64

Shows the 99th percentile of all profiled Azure app services over all hours in the current date for all organizations.

profiling_host_top99p

int64

Shows the 99th percentile of all profiled hosts over all hours in the current date for all organizations.

rum_browser_and_mobile_session_count

int64

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current month for all organizations.

rum_session_count_sum

int64

Shows the sum of all browser RUM Lite Sessions over all hours in the current date for all organizations

rum_total_session_count_sum

int64

Shows the sum of RUM Sessions (browser and mobile) over all hours in the current date for all organizations.

rum_units_sum

int64

Shows the sum of all browser and mobile RUM units over all hours in the current date for all organizations.

sds_apm_scanned_bytes_sum

int64

Sum of all APM bytes scanned with sensitive data scanner over all hours in the current date for all organizations.

sds_events_scanned_bytes_sum

int64

Sum of all event stream events bytes scanned with sensitive data scanner over all hours in the current date for all organizations.

sds_logs_scanned_bytes_sum

int64

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for all organizations.

sds_rum_scanned_bytes_sum

int64

Sum of all RUM bytes scanned with sensitive data scanner over all hours in the current date for all organizations.

sds_total_scanned_bytes_sum

int64

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for all organizations.

serverless_apps_azure_count_avg

int64

Shows the average of the number of Serverless Apps for Azure for the given date and given org.

serverless_apps_google_count_avg

int64

Shows the average of the number of Serverless Apps for Google Cloud for the given date and given org.

serverless_apps_total_count_avg

int64

Shows the average of the number of Serverless Apps for Azure and Google Cloud for the given date and given org.

synthetics_browser_check_calls_count_sum

int64

Shows the sum of all Synthetic browser tests over all hours in the current date for all organizations.

synthetics_check_calls_count_sum

int64

Shows the sum of all Synthetic API tests over all hours in the current date for all organizations.

synthetics_mobile_test_runs_sum

int64

Shows the sum of all Synthetic mobile application tests over all hours in the current date for all organizations.

synthetics_parallel_testing_max_slots_hwm

int64

Shows the high-water mark of used synthetics parallel testing slots over all hours in the current date for all organizations.

trace_search_indexed_events_count_sum

int64

Shows the sum of all Indexed Spans indexed over all hours in the current date for all organizations.

twol_ingested_events_bytes_sum

int64

Shows the sum of all ingested APM span bytes over all hours in the current date for all organizations.

universal_service_monitoring_host_top99p

int64

Shows the 99th percentile of all universal service management hosts over all hours in the current date for the given org.

vsphere_host_top99p

int64

Shows the 99th percentile of all vSphere hosts over all hours in the current date for all organizations.

vuln_management_host_count_top99p

int64

Shows the 99th percentile of all Application Vulnerability Management hosts over all hours in the current date for the given org.

workflow_executions_usage_sum

int64

Sum of all workflows executed over all hours in the current date for all organizations.

vsphere_host_top99p_sum

int64

Shows the 99th percentile of all vSphere hosts over all hours in the current month for all organizations.

vuln_management_host_count_top99p_sum

int64

Shows the 99th percentile of all Application Vulnerability Management hosts over all hours in the current month for all organizations.

workflow_executions_usage_agg_sum

int64

Sum of all workflows executed over all hours in the current month for all organizations.

{
  "agent_host_top99p_sum": "integer",
  "apm_azure_app_service_host_top99p_sum": "integer",
  "apm_devsecops_host_top99p_sum": "integer",
  "apm_fargate_count_avg_sum": "integer",
  "apm_host_top99p_sum": "integer",
  "appsec_fargate_count_avg_sum": "integer",
  "asm_serverless_agg_sum": "integer",
  "audit_logs_lines_indexed_agg_sum": "integer",
  "audit_trail_enabled_hwm_sum": "integer",
  "avg_profiled_fargate_tasks_sum": "integer",
  "aws_host_top99p_sum": "integer",
  "aws_lambda_func_count": "integer",
  "aws_lambda_invocations_sum": "integer",
  "azure_app_service_top99p_sum": "integer",
  "azure_host_top99p_sum": "integer",
  "billable_ingested_bytes_agg_sum": "integer",
  "browser_rum_lite_session_count_agg_sum": "integer",
  "browser_rum_replay_session_count_agg_sum": "integer",
  "browser_rum_units_agg_sum": "integer",
  "ci_pipeline_indexed_spans_agg_sum": "integer",
  "ci_test_indexed_spans_agg_sum": "integer",
  "ci_visibility_itr_committers_hwm_sum": "integer",
  "ci_visibility_pipeline_committers_hwm_sum": "integer",
  "ci_visibility_test_committers_hwm_sum": "integer",
  "cloud_cost_management_aws_host_count_avg_sum": "integer",
  "cloud_cost_management_azure_host_count_avg_sum": "integer",
  "cloud_cost_management_gcp_host_count_avg_sum": "integer",
  "cloud_cost_management_host_count_avg_sum": "integer",
  "cloud_siem_events_agg_sum": "integer",
  "container_avg_sum": "integer",
  "container_excl_agent_avg_sum": "integer",
  "container_hwm_sum": "integer",
  "csm_container_enterprise_compliance_count_agg_sum": "integer",
  "csm_container_enterprise_cws_count_agg_sum": "integer",
  "csm_container_enterprise_total_count_agg_sum": "integer",
  "csm_host_enterprise_aas_host_count_top99p_sum": "integer",
  "csm_host_enterprise_aws_host_count_top99p_sum": "integer",
  "csm_host_enterprise_azure_host_count_top99p_sum": "integer",
  "csm_host_enterprise_compliance_host_count_top99p_sum": "integer",
  "csm_host_enterprise_cws_host_count_top99p_sum": "integer",
  "csm_host_enterprise_gcp_host_count_top99p_sum": "integer",
  "csm_host_enterprise_total_host_count_top99p_sum": "integer",
  "cspm_aas_host_top99p_sum": "integer",
  "cspm_aws_host_top99p_sum": "integer",
  "cspm_azure_host_top99p_sum": "integer",
  "cspm_container_avg_sum": "integer",
  "cspm_container_hwm_sum": "integer",
  "cspm_gcp_host_top99p_sum": "integer",
  "cspm_host_top99p_sum": "integer",
  "custom_historical_ts_sum": "integer",
  "custom_live_ts_sum": "integer",
  "custom_ts_sum": "integer",
  "cws_containers_avg_sum": "integer",
  "cws_host_top99p_sum": "integer",
  "dbm_host_top99p_sum": "integer",
  "dbm_queries_avg_sum": "integer",
  "end_date": "2019-09-19T10:00:00.000Z",
  "error_tracking_events_agg_sum": "integer",
  "fargate_tasks_count_avg_sum": "integer",
  "fargate_tasks_count_hwm_sum": "integer",
  "flex_logs_compute_large_avg_sum": "integer",
  "flex_logs_compute_medium_avg_sum": "integer",
  "flex_logs_compute_small_avg_sum": "integer",
  "flex_logs_compute_xsmall_avg_sum": "integer",
  "flex_stored_logs_avg_sum": "integer",
  "forwarding_events_bytes_agg_sum": "integer",
  "gcp_host_top99p_sum": "integer",
  "heroku_host_top99p_sum": "integer",
  "incident_management_monthly_active_users_hwm_sum": "integer",
  "indexed_events_count_agg_sum": "integer",
  "infra_host_top99p_sum": "integer",
  "ingested_events_bytes_agg_sum": "integer",
  "iot_device_agg_sum": "integer",
  "iot_device_top99p_sum": "integer",
  "last_updated": "2019-09-19T10:00:00.000Z",
  "live_indexed_events_agg_sum": "integer",
  "live_ingested_bytes_agg_sum": "integer",
  "logs_by_retention": {
    "orgs": {
      "usage": [
        {
          "usage": [
            {
              "logs_indexed_logs_usage_sum": "integer",
              "logs_live_indexed_logs_usage_sum": "integer",
              "logs_rehydrated_indexed_logs_usage_sum": "integer",
              "retention": "string"
            }
          ]
        }
      ]
    },
    "usage": [
      {
        "logs_indexed_logs_usage_agg_sum": "integer",
        "logs_live_indexed_logs_usage_agg_sum": "integer",
        "logs_rehydrated_indexed_logs_usage_agg_sum": "integer",
        "retention": "string"
      }
    ],
    "usage_by_month": {
      "date": "2019-09-19T10:00:00.000Z",
      "usage": [
        {
          "logs_indexed_logs_usage_sum": "integer",
          "logs_live_indexed_logs_usage_sum": "integer",
          "logs_rehydrated_indexed_logs_usage_sum": "integer",
          "retention": "string"
        }
      ]
    }
  },
  "mobile_rum_lite_session_count_agg_sum": "integer",
  "mobile_rum_session_count_agg_sum": "integer",
  "mobile_rum_session_count_android_agg_sum": "integer",
  "mobile_rum_session_count_flutter_agg_sum": "integer",
  "mobile_rum_session_count_ios_agg_sum": "integer",
  "mobile_rum_session_count_reactnative_agg_sum": "integer",
  "mobile_rum_session_count_roku_agg_sum": "integer",
  "mobile_rum_units_agg_sum": "integer",
  "ndm_netflow_events_agg_sum": "integer",
  "netflow_indexed_events_count_agg_sum": "integer",
  "npm_host_top99p_sum": "integer",
  "observability_pipelines_bytes_processed_agg_sum": "integer",
  "online_archive_events_count_agg_sum": "integer",
  "opentelemetry_apm_host_top99p_sum": "integer",
  "opentelemetry_host_top99p_sum": "integer",
  "profiling_aas_count_top99p_sum": "integer",
  "profiling_container_agent_count_avg": "integer",
  "profiling_host_count_top99p_sum": "integer",
  "rehydrated_indexed_events_agg_sum": "integer",
  "rehydrated_ingested_bytes_agg_sum": "integer",
  "rum_browser_and_mobile_session_count": "integer",
  "rum_session_count_agg_sum": "integer",
  "rum_total_session_count_agg_sum": "integer",
  "rum_units_agg_sum": "integer",
  "sds_apm_scanned_bytes_sum": "integer",
  "sds_events_scanned_bytes_sum": "integer",
  "sds_logs_scanned_bytes_sum": "integer",
  "sds_rum_scanned_bytes_sum": "integer",
  "sds_total_scanned_bytes_sum": "integer",
  "serverless_apps_azure_count_avg_sum": "integer",
  "serverless_apps_google_count_avg_sum": "integer",
  "serverless_apps_total_count_avg_sum": "integer",
  "start_date": "2019-09-19T10:00:00.000Z",
  "synthetics_browser_check_calls_count_agg_sum": "integer",
  "synthetics_check_calls_count_agg_sum": "integer",
  "synthetics_mobile_test_runs_agg_sum": "integer",
  "synthetics_parallel_testing_max_slots_hwm_sum": "integer",
  "trace_search_indexed_events_count_agg_sum": "integer",
  "twol_ingested_events_bytes_agg_sum": "integer",
  "universal_service_monitoring_host_top99p_sum": "integer",
  "usage": [
    {
      "agent_host_top99p": "integer",
      "apm_azure_app_service_host_top99p": "integer",
      "apm_devsecops_host_top99p": "integer",
      "apm_fargate_count_avg": "integer",
      "apm_host_top99p": "integer",
      "appsec_fargate_count_avg": "integer",
      "asm_serverless_sum": "integer",
      "audit_logs_lines_indexed_sum": "integer",
      "audit_trail_enabled_hwm": "integer",
      "avg_profiled_fargate_tasks": "integer",
      "aws_host_top99p": "integer",
      "aws_lambda_func_count": "integer",
      "aws_lambda_invocations_sum": "integer",
      "azure_app_service_top99p": "integer",
      "billable_ingested_bytes_sum": "integer",
      "browser_rum_lite_session_count_sum": "integer",
      "browser_rum_replay_session_count_sum": "integer",
      "browser_rum_units_sum": "integer",
      "ci_pipeline_indexed_spans_sum": "integer",
      "ci_test_indexed_spans_sum": "integer",
      "ci_visibility_itr_committers_hwm": "integer",
      "ci_visibility_pipeline_committers_hwm": "integer",
      "ci_visibility_test_committers_hwm": "integer",
      "cloud_cost_management_aws_host_count_avg": "integer",
      "cloud_cost_management_azure_host_count_avg": "integer",
      "cloud_cost_management_gcp_host_count_avg": "integer",
      "cloud_cost_management_host_count_avg": "integer",
      "cloud_siem_events_sum": "integer",
      "container_avg": "integer",
      "container_excl_agent_avg": "integer",
      "container_hwm": "integer",
      "csm_container_enterprise_compliance_count_sum": "integer",
      "csm_container_enterprise_cws_count_sum": "integer",
      "csm_container_enterprise_total_count_sum": "integer",
      "csm_host_enterprise_aas_host_count_top99p": "integer",
      "csm_host_enterprise_aws_host_count_top99p": "integer",
      "csm_host_enterprise_azure_host_count_top99p": "integer",
      "csm_host_enterprise_compliance_host_count_top99p": "integer",
      "csm_host_enterprise_cws_host_count_top99p": "integer",
      "csm_host_enterprise_gcp_host_count_top99p": "integer",
      "csm_host_enterprise_total_host_count_top99p": "integer",
      "cspm_aas_host_top99p": "integer",
      "cspm_aws_host_top99p": "integer",
      "cspm_azure_host_top99p": "integer",
      "cspm_container_avg": "integer",
      "cspm_container_hwm": "integer",
      "cspm_gcp_host_top99p": "integer",
      "cspm_host_top99p": "integer",
      "custom_ts_avg": "integer",
      "cws_container_count_avg": "integer",
      "cws_host_top99p": "integer",
      "date": "2019-09-19T10:00:00.000Z",
      "dbm_host_top99p": "integer",
      "dbm_queries_count_avg": "integer",
      "error_tracking_events_sum": "integer",
      "fargate_tasks_count_avg": "integer",
      "fargate_tasks_count_hwm": "integer",
      "flex_logs_compute_large_avg": "integer",
      "flex_logs_compute_medium_avg": "integer",
      "flex_logs_compute_small_avg": "integer",
      "flex_logs_compute_xsmall_avg": "integer",
      "flex_stored_logs_avg": "integer",
      "forwarding_events_bytes_sum": "integer",
      "gcp_host_top99p": "integer",
      "heroku_host_top99p": "integer",
      "incident_management_monthly_active_users_hwm": "integer",
      "indexed_events_count_sum": "integer",
      "infra_host_top99p": "integer",
      "ingested_events_bytes_sum": "integer",
      "iot_device_sum": "integer",
      "iot_device_top99p": "integer",
      "mobile_rum_lite_session_count_sum": "integer",
      "mobile_rum_session_count_android_sum": "integer",
      "mobile_rum_session_count_flutter_sum": "integer",
      "mobile_rum_session_count_ios_sum": "integer",
      "mobile_rum_session_count_reactnative_sum": "integer",
      "mobile_rum_session_count_roku_sum": "integer",
      "mobile_rum_session_count_sum": "integer",
      "mobile_rum_units_sum": "integer",
      "ndm_netflow_events_sum": "integer",
      "netflow_indexed_events_count_sum": "integer",
      "npm_host_top99p": "integer",
      "observability_pipelines_bytes_processed_sum": "integer",
      "online_archive_events_count_sum": "integer",
      "opentelemetry_apm_host_top99p": "integer",
      "opentelemetry_host_top99p": "integer",
      "orgs": [
        {
          "agent_host_top99p": "integer",
          "apm_azure_app_service_host_top99p": "integer",
          "apm_devsecops_host_top99p": "integer",
          "apm_fargate_count_avg": "integer",
          "apm_host_top99p": "integer",
          "appsec_fargate_count_avg": "integer",
          "asm_serverless_sum": "integer",
          "audit_logs_lines_indexed_sum": "integer",
          "audit_trail_enabled_hwm": "integer",
          "avg_profiled_fargate_tasks": "integer",
          "aws_host_top99p": "integer",
          "aws_lambda_func_count": "integer",
          "aws_lambda_invocations_sum": "integer",
          "azure_app_service_top99p": "integer",
          "billable_ingested_bytes_sum": "integer",
          "browser_rum_lite_session_count_sum": "integer",
          "browser_rum_replay_session_count_sum": "integer",
          "browser_rum_units_sum": "integer",
          "ci_pipeline_indexed_spans_sum": "integer",
          "ci_test_indexed_spans_sum": "integer",
          "ci_visibility_itr_committers_hwm": "integer",
          "ci_visibility_pipeline_committers_hwm": "integer",
          "ci_visibility_test_committers_hwm": "integer",
          "cloud_cost_management_aws_host_count_avg": "integer",
          "cloud_cost_management_azure_host_count_avg": "integer",
          "cloud_cost_management_gcp_host_count_avg": "integer",
          "cloud_cost_management_host_count_avg": "integer",
          "cloud_siem_events_sum": "integer",
          "container_avg": "integer",
          "container_excl_agent_avg": "integer",
          "container_hwm": "integer",
          "csm_container_enterprise_compliance_count_sum": "integer",
          "csm_container_enterprise_cws_count_sum": "integer",
          "csm_container_enterprise_total_count_sum": "integer",
          "csm_host_enterprise_aas_host_count_top99p": "integer",
          "csm_host_enterprise_aws_host_count_top99p": "integer",
          "csm_host_enterprise_azure_host_count_top99p": "integer",
          "csm_host_enterprise_compliance_host_count_top99p": "integer",
          "csm_host_enterprise_cws_host_count_top99p": "integer",
          "csm_host_enterprise_gcp_host_count_top99p": "integer",
          "csm_host_enterprise_total_host_count_top99p": "integer",
          "cspm_aas_host_top99p": "integer",
          "cspm_aws_host_top99p": "integer",
          "cspm_azure_host_top99p": "integer",
          "cspm_container_avg": "integer",
          "cspm_container_hwm": "integer",
          "cspm_gcp_host_top99p": "integer",
          "cspm_host_top99p": "integer",
          "custom_historical_ts_avg": "integer",
          "custom_live_ts_avg": "integer",
          "custom_ts_avg": "integer",
          "cws_container_count_avg": "integer",
          "cws_host_top99p": "integer",
          "dbm_host_top99p_sum": "integer",
          "dbm_queries_avg_sum": "integer",
          "error_tracking_events_sum": "integer",
          "fargate_tasks_count_avg": "integer",
          "fargate_tasks_count_hwm": "integer",
          "flex_logs_compute_large_avg": "integer",
          "flex_logs_compute_medium_avg": "integer",
          "flex_logs_compute_small_avg": "integer",
          "flex_logs_compute_xsmall_avg": "integer",
          "flex_stored_logs_avg": "integer",
          "forwarding_events_bytes_sum": "integer",
          "gcp_host_top99p": "integer",
          "heroku_host_top99p": "integer",
          "id": "string",
          "incident_management_monthly_active_users_hwm": "integer",
          "indexed_events_count_sum": "integer",
          "infra_host_top99p": "integer",
          "ingested_events_bytes_sum": "integer",
          "iot_device_agg_sum": "integer",
          "iot_device_top99p_sum": "integer",
          "mobile_rum_lite_session_count_sum": "integer",
          "mobile_rum_session_count_android_sum": "integer",
          "mobile_rum_session_count_flutter_sum": "integer",
          "mobile_rum_session_count_ios_sum": "integer",
          "mobile_rum_session_count_reactnative_sum": "integer",
          "mobile_rum_session_count_roku_sum": "integer",
          "mobile_rum_session_count_sum": "integer",
          "mobile_rum_units_sum": "integer",
          "name": "string",
          "ndm_netflow_events_sum": "integer",
          "netflow_indexed_events_count_sum": "integer",
          "npm_host_top99p": "integer",
          "observability_pipelines_bytes_processed_sum": "integer",
          "online_archive_events_count_sum": "integer",
          "opentelemetry_apm_host_top99p": "integer",
          "opentelemetry_host_top99p": "integer",
          "profiling_aas_count_top99p": "integer",
          "profiling_host_top99p": "integer",
          "public_id": "string",
          "region": "string",
          "rum_browser_and_mobile_session_count": "integer",
          "rum_session_count_sum": "integer",
          "rum_total_session_count_sum": "integer",
          "rum_units_sum": "integer",
          "sds_apm_scanned_bytes_sum": "integer",
          "sds_events_scanned_bytes_sum": "integer",
          "sds_logs_scanned_bytes_sum": "integer",
          "sds_rum_scanned_bytes_sum": "integer",
          "sds_total_scanned_bytes_sum": "integer",
          "serverless_apps_azure_count_avg": "integer",
          "serverless_apps_google_count_avg": "integer",
          "serverless_apps_total_count_avg": "integer",
          "synthetics_browser_check_calls_count_sum": "integer",
          "synthetics_check_calls_count_sum": "integer",
          "synthetics_mobile_test_runs_sum": "integer",
          "synthetics_parallel_testing_max_slots_hwm": "integer",
          "trace_search_indexed_events_count_sum": "integer",
          "twol_ingested_events_bytes_sum": "integer",
          "universal_service_monitoring_host_top99p": "integer",
          "vsphere_host_top99p": "integer",
          "vuln_management_host_count_top99p": "integer",
          "workflow_executions_usage_sum": "integer"
        }
      ],
      "profiling_aas_count_top99p": "integer",
      "profiling_host_top99p": "integer",
      "rum_browser_and_mobile_session_count": "integer",
      "rum_session_count_sum": "integer",
      "rum_total_session_count_sum": "integer",
      "rum_units_sum": "integer",
      "sds_apm_scanned_bytes_sum": "integer",
      "sds_events_scanned_bytes_sum": "integer",
      "sds_logs_scanned_bytes_sum": "integer",
      "sds_rum_scanned_bytes_sum": "integer",
      "sds_total_scanned_bytes_sum": "integer",
      "serverless_apps_azure_count_avg": "integer",
      "serverless_apps_google_count_avg": "integer",
      "serverless_apps_total_count_avg": "integer",
      "synthetics_browser_check_calls_count_sum": "integer",
      "synthetics_check_calls_count_sum": "integer",
      "synthetics_mobile_test_runs_sum": "integer",
      "synthetics_parallel_testing_max_slots_hwm": "integer",
      "trace_search_indexed_events_count_sum": "integer",
      "twol_ingested_events_bytes_sum": "integer",
      "universal_service_monitoring_host_top99p": "integer",
      "vsphere_host_top99p": "integer",
      "vuln_management_host_count_top99p": "integer",
      "workflow_executions_usage_sum": "integer"
    }
  ],
  "vsphere_host_top99p_sum": "integer",
  "vuln_management_host_count_top99p_sum": "integer",
  "workflow_executions_usage_agg_sum": "integer"
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_month="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/summary?start_month=${start_month}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get usage across your account returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_summary(
        start_month=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get usage across your account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_summary("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get usage across your account returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageSummary(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageSummaryOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageSummary`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageSummary`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get usage across your account returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageSummaryResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageSummaryResponse result =
          apiInstance.getUsageSummary(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageSummary");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get usage across your account returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageSummaryRequest = {
  startMonth: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageSummary(params)
  .then((data: v1.UsageSummaryResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for logs by index

GET https://api.ap1.datadoghq.com/api/v1/usage/logs_by_indexhttps://api.datadoghq.eu/api/v1/usage/logs_by_indexhttps://api.ddog-gov.com/api/v1/usage/logs_by_indexhttps://api.datadoghq.com/api/v1/usage/logs_by_indexhttps://api.us3.datadoghq.com/api/v1/usage/logs_by_indexhttps://api.us5.datadoghq.com/api/v1/usage/logs_by_index

Présentation

Récupérez l’utilisation horaire pour les logs par index. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

index_name

array

Comma-separated list of log index names.

Réponse

OK

Response containing the number of indexed logs for each hour and index for a given organization.

Expand All

Champ

Type

Description

usage

[object]

An array of objects regarding hourly usage of logs by index response.

event_count

int64

The total number of indexed logs for the queried hour.

hour

date-time

The hour for the usage.

index_id

string

The index ID for this usage.

index_name

string

The user specified name for this index ID.

org_name

string

The organization name.

public_id

string

The organization public ID.

retention

int64

The retention period (in days) for this index ID.

{
  "usage": [
    {
      "event_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "index_id": "string",
      "index_name": "string",
      "org_name": "string",
      "public_id": "string",
      "retention": "integer"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/logs_by_index?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for logs by index returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_logs_by_index(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for logs by index returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_logs_by_index("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2020-01-01T00'
end_date='2019-01-01T02'
index_name='main, marketing'

dog.get_logs_by_index_usage(start_date, end_date, index_name)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for logs by index returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageLogsByIndex(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageLogsByIndexOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageLogsByIndex`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageLogsByIndex`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for logs by index returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageLogsByIndexResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageLogsByIndexResponse result =
          apiInstance.getUsageLogsByIndex(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageLogsByIndex");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
# Consult the ruby example

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"
/**
 * Get hourly usage for logs by index returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageLogsByIndexRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageLogsByIndex(params)
  .then((data: v1.UsageLogsByIndexResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly logs usage by retention

GET https://api.ap1.datadoghq.com/api/v1/usage/logs-by-retentionhttps://api.datadoghq.eu/api/v1/usage/logs-by-retentionhttps://api.ddog-gov.com/api/v1/usage/logs-by-retentionhttps://api.datadoghq.com/api/v1/usage/logs-by-retentionhttps://api.us3.datadoghq.com/api/v1/usage/logs-by-retentionhttps://api.us5.datadoghq.com/api/v1/usage/logs-by-retention

Présentation

Récupérez l’utilisation horaire pour les logs indexés selon la période de rétention. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the indexed logs usage broken down by retention period for an organization during a given hour.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for indexed logs by retention period.

indexed_events_count

int64

Total logs indexed with this retention period during a given hour.

live_indexed_events_count

int64

Live logs indexed with this retention period during a given hour.

org_name

string

The organization name.

public_id

string

The organization public ID.

rehydrated_indexed_events_count

int64

Rehydrated logs indexed with this retention period during a given hour.

retention

string

The retention period in days or "custom" for all custom retention usage.

{
  "usage": [
    {
      "indexed_events_count": "integer",
      "live_indexed_events_count": "integer",
      "org_name": "string",
      "public_id": "string",
      "rehydrated_indexed_events_count": "integer",
      "retention": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/logs-by-retention?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly logs usage by retention returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_logs_by_retention(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly logs usage by retention returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_logs_by_retention((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly logs usage by retention returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageLogsByRetention(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageLogsByRetentionOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageLogsByRetention`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageLogsByRetention`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly logs usage by retention returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageLogsByRetentionOptionalParameters;
import com.datadog.api.client.v1.model.UsageLogsByRetentionResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageLogsByRetentionResponse result =
          apiInstance.getUsageLogsByRetention(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageLogsByRetentionOptionalParameters()
                  .endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageLogsByRetention");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly logs usage by retention returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageLogsByRetentionRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageLogsByRetention(params)
  .then((data: v1.UsageLogsByRetentionResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for hosts and containers

GET https://api.ap1.datadoghq.com/api/v1/usage/hostshttps://api.datadoghq.eu/api/v1/usage/hostshttps://api.ddog-gov.com/api/v1/usage/hostshttps://api.datadoghq.com/api/v1/usage/hostshttps://api.us3.datadoghq.com/api/v1/usage/hostshttps://api.us5.datadoghq.com/api/v1/usage/hosts

Présentation

Récupérez l’utilisation horaire pour les hosts et les conteneurs. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Host usage response.

Expand All

Champ

Type

Description

usage

[object]

An array of objects related to host usage.

agent_host_count

int64

Contains the total number of infrastructure hosts reporting during a given hour that were running the Datadog Agent.

alibaba_host_count

int64

Contains the total number of hosts that reported through Alibaba integration (and were NOT running the Datadog Agent).

apm_azure_app_service_host_count

int64

Contains the total number of Azure App Services hosts using APM.

apm_host_count

int64

Shows the total number of hosts using APM during the hour, these are counted as billable (except during trial periods).

aws_host_count

int64

Contains the total number of hosts that reported through the AWS integration (and were NOT running the Datadog Agent).

azure_host_count

int64

Contains the total number of hosts that reported through Azure integration (and were NOT running the Datadog Agent).

container_count

int64

Shows the total number of containers reported by the Docker integration during the hour.

gcp_host_count

int64

Contains the total number of hosts that reported through the Google Cloud integration (and were NOT running the Datadog Agent).

heroku_host_count

int64

Contains the total number of Heroku dynos reported by the Datadog Agent.

host_count

int64

Contains the total number of billable infrastructure hosts reporting during a given hour. This is the sum of agent_host_count, aws_host_count, and gcp_host_count.

hour

date-time

The hour for the usage.

infra_azure_app_service

int64

Contains the total number of hosts that reported through the Azure App Services integration (and were NOT running the Datadog Agent).

opentelemetry_apm_host_count

int64

Contains the total number of hosts using APM reported by Datadog exporter for the OpenTelemetry Collector.

opentelemetry_host_count

int64

Contains the total number of hosts reported by Datadog exporter for the OpenTelemetry Collector.

org_name

string

The organization name.

public_id

string

The organization public ID.

vsphere_host_count

int64

Contains the total number of hosts that reported through vSphere integration (and were NOT running the Datadog Agent).

{
  "usage": [
    {
      "agent_host_count": "integer",
      "alibaba_host_count": "integer",
      "apm_azure_app_service_host_count": "integer",
      "apm_host_count": "integer",
      "aws_host_count": "integer",
      "azure_host_count": "integer",
      "container_count": "integer",
      "gcp_host_count": "integer",
      "heroku_host_count": "integer",
      "host_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "infra_azure_app_service": "integer",
      "opentelemetry_apm_host_count": "integer",
      "opentelemetry_host_count": "integer",
      "org_name": "string",
      "public_id": "string",
      "vsphere_host_count": "integer"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/hosts?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for hosts and containers returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_hosts(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for hosts and containers returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_hosts((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_hosts_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for hosts and containers returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageHosts(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageHostsOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageHosts`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageHosts`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for hosts and containers returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageHostsOptionalParameters;
import com.datadog.api.client.v1.model.UsageHostsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageHostsResponse result =
          apiInstance.getUsageHosts(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageHostsOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageHosts");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for hosts and containers returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageHostsRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageHosts(params)
  .then((data: v1.UsageHostsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for logs

GET https://api.ap1.datadoghq.com/api/v1/usage/logshttps://api.datadoghq.eu/api/v1/usage/logshttps://api.ddog-gov.com/api/v1/usage/logshttps://api.datadoghq.com/api/v1/usage/logshttps://api.us3.datadoghq.com/api/v1/usage/logshttps://api.us5.datadoghq.com/api/v1/usage/logs

Présentation

Récupérez l’utilisation horaire pour les logs. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of logs for each hour.

Expand All

Champ

Type

Description

usage

[object]

An array of objects regarding hourly usage of logs.

billable_ingested_bytes

int64

Contains the number of billable log bytes ingested.

hour

date-time

The hour for the usage.

indexed_events_count

int64

Contains the number of log events indexed.

ingested_events_bytes

int64

Contains the number of log bytes ingested.

logs_forwarding_events_bytes

int64

Contains the number of logs forwarded bytes (data available as of April 1st 2023)

logs_live_indexed_count

int64

Contains the number of live log events indexed (data available as of December 1, 2020).

logs_live_ingested_bytes

int64

Contains the number of live log bytes ingested (data available as of December 1, 2020).

logs_rehydrated_indexed_count

int64

Contains the number of rehydrated log events indexed (data available as of December 1, 2020).

logs_rehydrated_ingested_bytes

int64

Contains the number of rehydrated log bytes ingested (data available as of December 1, 2020).

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "billable_ingested_bytes": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "indexed_events_count": "integer",
      "ingested_events_bytes": "integer",
      "logs_forwarding_events_bytes": "integer",
      "logs_live_indexed_count": "integer",
      "logs_live_ingested_bytes": "integer",
      "logs_rehydrated_indexed_count": "integer",
      "logs_rehydrated_ingested_bytes": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/logs?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for logs returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_logs(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for logs returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_logs("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_logs_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for logs returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageLogs(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageLogsOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageLogs`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageLogs`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for logs returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageLogsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageLogsResponse result =
          apiInstance.getUsageLogs(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageLogs");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for logs returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageLogsRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageLogs(params)
  .then((data: v1.UsageLogsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for custom metrics

GET https://api.ap1.datadoghq.com/api/v1/usage/timeserieshttps://api.datadoghq.eu/api/v1/usage/timeserieshttps://api.ddog-gov.com/api/v1/usage/timeserieshttps://api.datadoghq.com/api/v1/usage/timeserieshttps://api.us3.datadoghq.com/api/v1/usage/timeserieshttps://api.us5.datadoghq.com/api/v1/usage/timeseries

Présentation

Récupérez l’utilisation horaire pour les [métriques custom] (https://docs.datadoghq.com/developers/metrics/custom_metrics/). This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing hourly usage of timeseries.

Expand All

Champ

Type

Description

usage

[object]

An array of objects regarding hourly usage of timeseries.

hour

date-time

The hour for the usage.

num_custom_input_timeseries

int64

Contains the number of custom metrics that are inputs for aggregations (metric configured is custom).

num_custom_output_timeseries

int64

Contains the number of custom metrics that are outputs for aggregations (metric configured is custom).

num_custom_timeseries

int64

Contains sum of non-aggregation custom metrics and custom metrics that are outputs for aggregations.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "num_custom_input_timeseries": "integer",
      "num_custom_output_timeseries": "integer",
      "num_custom_timeseries": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/timeseries?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for custom metrics returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_timeseries(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for custom metrics returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_timeseries((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_custom_metrics_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for custom metrics returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageTimeseries(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageTimeseriesOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageTimeseries`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageTimeseries`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for custom metrics returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageTimeseriesOptionalParameters;
import com.datadog.api.client.v1.model.UsageTimeseriesResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageTimeseriesResponse result =
          apiInstance.getUsageTimeseries(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageTimeseriesOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageTimeseries");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for custom metrics returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageTimeseriesRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageTimeseries(params)
  .then((data: v1.UsageTimeseriesResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for indexed spans

GET https://api.ap1.datadoghq.com/api/v1/usage/indexed-spanshttps://api.datadoghq.eu/api/v1/usage/indexed-spanshttps://api.ddog-gov.com/api/v1/usage/indexed-spanshttps://api.datadoghq.com/api/v1/usage/indexed-spanshttps://api.us3.datadoghq.com/api/v1/usage/indexed-spanshttps://api.us5.datadoghq.com/api/v1/usage/indexed-spans

Présentation

Récupérez l’utilisation horaire pour les spans indexées. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

A response containing indexed spans usage.

Expand All

Champ

Type

Description

usage

[object]

Array with the number of hourly traces indexed for a given organization.

hour

date-time

The hour for the usage.

indexed_events_count

int64

Contains the number of spans indexed.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "indexed_events_count": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/indexed-spans?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for indexed spans returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_indexed_spans(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for indexed spans returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_indexed_spans((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for indexed spans returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageIndexedSpans(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageIndexedSpansOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageIndexedSpans`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageIndexedSpans`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for indexed spans returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageIndexedSpansOptionalParameters;
import com.datadog.api.client.v1.model.UsageIndexedSpansResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageIndexedSpansResponse result =
          apiInstance.getUsageIndexedSpans(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageIndexedSpansOptionalParameters()
                  .endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageIndexedSpans");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for indexed spans returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageIndexedSpansRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageIndexedSpans(params)
  .then((data: v1.UsageIndexedSpansResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for synthetics checks

GET https://api.ap1.datadoghq.com/api/v1/usage/syntheticshttps://api.datadoghq.eu/api/v1/usage/syntheticshttps://api.ddog-gov.com/api/v1/usage/syntheticshttps://api.datadoghq.com/api/v1/usage/syntheticshttps://api.us3.datadoghq.com/api/v1/usage/syntheticshttps://api.us5.datadoghq.com/api/v1/usage/synthetics

Présentation

Récupérez l’utilisation horaire pour les checks Synthetic. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of Synthetics API tests run for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Array with the number of hourly Synthetics test run for a given organization.

check_calls_count

int64

Contains the number of Synthetics API tests run.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "check_calls_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/synthetics?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for synthetics checks returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_synthetics(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for synthetics checks returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_synthetics("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for synthetics checks returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageSynthetics(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageSyntheticsOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageSynthetics`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageSynthetics`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for synthetics checks returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageSyntheticsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageSyntheticsResponse result =
          apiInstance.getUsageSynthetics(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageSynthetics");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for synthetics checks returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageSyntheticsRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageSynthetics(params)
  .then((data: v1.UsageSyntheticsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for synthetics API checks

GET https://api.ap1.datadoghq.com/api/v1/usage/synthetics_apihttps://api.datadoghq.eu/api/v1/usage/synthetics_apihttps://api.ddog-gov.com/api/v1/usage/synthetics_apihttps://api.datadoghq.com/api/v1/usage/synthetics_apihttps://api.us3.datadoghq.com/api/v1/usage/synthetics_apihttps://api.us5.datadoghq.com/api/v1/usage/synthetics_api

Présentation

Récupérez l’utilisation horaire pour les checks API Synthetic. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of Synthetics API tests run for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for Synthetics API tests.

check_calls_count

int64

Contains the number of Synthetics API tests run.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "check_calls_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/synthetics_api?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for synthetics API checks returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_synthetics_api(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for synthetics API checks returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_synthetics_api("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_synthetics_api_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for synthetics API checks returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageSyntheticsAPI(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageSyntheticsAPIOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageSyntheticsAPI`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageSyntheticsAPI`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for synthetics API checks returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageSyntheticsAPIResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageSyntheticsAPIResponse result =
          apiInstance.getUsageSyntheticsAPI(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageSyntheticsAPI");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for synthetics API checks returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageSyntheticsAPIRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageSyntheticsAPI(params)
  .then((data: v1.UsageSyntheticsAPIResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for synthetics browser checks

GET https://api.ap1.datadoghq.com/api/v1/usage/synthetics_browserhttps://api.datadoghq.eu/api/v1/usage/synthetics_browserhttps://api.ddog-gov.com/api/v1/usage/synthetics_browserhttps://api.datadoghq.com/api/v1/usage/synthetics_browserhttps://api.us3.datadoghq.com/api/v1/usage/synthetics_browserhttps://api.us5.datadoghq.com/api/v1/usage/synthetics_browser

Présentation

Récupérez l’utilisation horaire pour les checks Browser Synthetic. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of Synthetics Browser tests run for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for Synthetics Browser tests.

browser_check_calls_count

int64

Contains the number of Synthetics Browser tests run.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "browser_check_calls_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/synthetics_browser?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for synthetics browser checks returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_synthetics_browser(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for synthetics browser checks returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_synthetics_browser("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_synthetics_browser_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for synthetics browser checks returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageSyntheticsBrowser(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageSyntheticsBrowserOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageSyntheticsBrowser`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageSyntheticsBrowser`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for synthetics browser checks returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageSyntheticsBrowserResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageSyntheticsBrowserResponse result =
          apiInstance.getUsageSyntheticsBrowser(
              OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageSyntheticsBrowser");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for synthetics browser checks returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageSyntheticsBrowserRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageSyntheticsBrowser(params)
  .then((data: v1.UsageSyntheticsBrowserResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for Fargate

GET https://api.ap1.datadoghq.com/api/v1/usage/fargatehttps://api.datadoghq.eu/api/v1/usage/fargatehttps://api.ddog-gov.com/api/v1/usage/fargatehttps://api.datadoghq.com/api/v1/usage/fargatehttps://api.us3.datadoghq.com/api/v1/usage/fargatehttps://api.us5.datadoghq.com/api/v1/usage/fargate

Présentation

Récupérez l’utilisation horaire pour Fargate. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of Fargate tasks run and hourly usage.

Expand All

Champ

Type

Description

usage

[object]

Array with the number of hourly Fargate tasks recorded for a given organization.

apm_fargate_count

int64

The high-water mark of APM ECS Fargate tasks during the given hour.

appsec_fargate_count

int64

The Application Security Monitoring ECS Fargate tasks during the given hour.

avg_profiled_fargate_tasks

int64

The average profiled task count for Fargate Profiling.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

tasks_count

int64

The number of Fargate tasks run.

{
  "usage": [
    {
      "apm_fargate_count": "integer",
      "appsec_fargate_count": "integer",
      "avg_profiled_fargate_tasks": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string",
      "tasks_count": "integer"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/fargate?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for Fargate returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_fargate(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for Fargate returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_fargate((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_fargate_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for Fargate returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageFargate(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageFargateOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageFargate`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageFargate`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for Fargate returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageFargateOptionalParameters;
import com.datadog.api.client.v1.model.UsageFargateResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageFargateResponse result =
          apiInstance.getUsageFargate(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageFargateOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageFargate");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for Fargate returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageFargateRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageFargate(params)
  .then((data: v1.UsageFargateResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for Lambda

GET https://api.ap1.datadoghq.com/api/v1/usage/aws_lambdahttps://api.datadoghq.eu/api/v1/usage/aws_lambdahttps://api.ddog-gov.com/api/v1/usage/aws_lambdahttps://api.datadoghq.com/api/v1/usage/aws_lambdahttps://api.us3.datadoghq.com/api/v1/usage/aws_lambdahttps://api.us5.datadoghq.com/api/v1/usage/aws_lambda

Présentation

Récupérez l’utilisation horaire pour Lambda. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of Lambda functions and sum of the invocations of all Lambda functions for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for Lambda.

func_count

int64

Contains the number of different functions for each region and AWS account.

hour

date-time

The hour for the usage.

invocations_sum

int64

Contains the sum of invocations of all functions.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "func_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "invocations_sum": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/aws_lambda?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for Lambda returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_lambda(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for Lambda returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_lambda((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_aws_lambda_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for Lambda returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageLambda(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageLambdaOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageLambda`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageLambda`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for Lambda returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageLambdaOptionalParameters;
import com.datadog.api.client.v1.model.UsageLambdaResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageLambdaResponse result =
          apiInstance.getUsageLambda(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageLambdaOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageLambda");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for Lambda returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageLambdaRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageLambda(params)
  .then((data: v1.UsageLambdaResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for RUM sessions

GET https://api.ap1.datadoghq.com/api/v1/usage/rum_sessionshttps://api.datadoghq.eu/api/v1/usage/rum_sessionshttps://api.ddog-gov.com/api/v1/usage/rum_sessionshttps://api.datadoghq.com/api/v1/usage/rum_sessionshttps://api.us3.datadoghq.com/api/v1/usage/rum_sessionshttps://api.us5.datadoghq.com/api/v1/usage/rum_sessions

Présentation

Récupérez l’utilisation horaire pour les sessions RUM. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

type

string

RUM type: [browser, mobile]. Defaults to browser.

Réponse

OK

Response containing the number of RUM Sessions for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for RUM Sessions.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

replay_session_count

int64

Contains the number of RUM Replay Sessions (data available beginning November 1, 2021).

session_count

int64

Contains the number of browser RUM Lite Sessions.

session_count_android

int64

Contains the number of mobile RUM Sessions on Android (data available beginning December 1, 2020).

session_count_flutter

int64

Contains the number of mobile RUM Sessions on Flutter (data available beginning March 1, 2023).

session_count_ios

int64

Contains the number of mobile RUM Sessions on iOS (data available beginning December 1, 2020).

session_count_reactnative

int64

Contains the number of mobile RUM Sessions on React Native (data available beginning May 1, 2022).

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string",
      "replay_session_count": "integer",
      "session_count": "integer",
      "session_count_android": "integer",
      "session_count_flutter": "integer",
      "session_count_ios": "integer",
      "session_count_reactnative": "integer"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/rum_sessions?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for RUM sessions returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_rum_sessions(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for RUM sessions returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_rum_sessions("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_rum_sessions_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for RUM sessions returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageRumSessions(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageRumSessionsOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageRumSessions`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageRumSessions`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for RUM sessions returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageRumSessionsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageRumSessionsResponse result =
          apiInstance.getUsageRumSessions(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageRumSessions");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for RUM sessions returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageRumSessionsRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageRumSessions(params)
  .then((data: v1.UsageRumSessionsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for network hosts

GET https://api.ap1.datadoghq.com/api/v1/usage/network_hostshttps://api.datadoghq.eu/api/v1/usage/network_hostshttps://api.ddog-gov.com/api/v1/usage/network_hostshttps://api.datadoghq.com/api/v1/usage/network_hostshttps://api.us3.datadoghq.com/api/v1/usage/network_hostshttps://api.us5.datadoghq.com/api/v1/usage/network_hosts

Présentation

Récupérez l’utilisation horaire pour les hosts réseau. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of active NPM hosts for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for NPM hosts.

host_count

int64

Contains the number of active NPM hosts.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "host_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/network_hosts?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for network hosts returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_network_hosts(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for network hosts returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_network_hosts("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_network_hosts_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for network hosts returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageNetworkHosts(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageNetworkHostsOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageNetworkHosts`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageNetworkHosts`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for network hosts returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageNetworkHostsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageNetworkHostsResponse result =
          apiInstance.getUsageNetworkHosts(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageNetworkHosts");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for network hosts returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageNetworkHostsRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageNetworkHosts(params)
  .then((data: v1.UsageNetworkHostsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

get hourly usage for network flows

GET https://api.ap1.datadoghq.com/api/v1/usage/network_flowshttps://api.datadoghq.eu/api/v1/usage/network_flowshttps://api.ddog-gov.com/api/v1/usage/network_flowshttps://api.datadoghq.com/api/v1/usage/network_flowshttps://api.us3.datadoghq.com/api/v1/usage/network_flowshttps://api.us5.datadoghq.com/api/v1/usage/network_flows

Présentation

Récupérez l’utilisation horaire pour les flux réseau. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of netflow events indexed for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for Network Flows.

hour

date-time

The hour for the usage.

indexed_events_count

int64

Contains the number of netflow events indexed.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "indexed_events_count": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/network_flows?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
get hourly usage for network flows returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_network_flows(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# get hourly usage for network flows returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_network_flows("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

start_date= '2019-10-07T00'
end_date='2019-10-07T02'

dog.get_network_flows_usage(start_date, end_date)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// get hourly usage for network flows returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageNetworkFlows(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageNetworkFlowsOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageNetworkFlows`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageNetworkFlows`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// get hourly usage for network flows returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageNetworkFlowsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageNetworkFlowsResponse result =
          apiInstance.getUsageNetworkFlows(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageNetworkFlows");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * get hourly usage for network flows returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageNetworkFlowsRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageNetworkFlows(params)
  .then((data: v1.UsageNetworkFlowsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for analyzed logs

GET https://api.ap1.datadoghq.com/api/v1/usage/analyzed_logshttps://api.datadoghq.eu/api/v1/usage/analyzed_logshttps://api.ddog-gov.com/api/v1/usage/analyzed_logshttps://api.datadoghq.com/api/v1/usage/analyzed_logshttps://api.us3.datadoghq.com/api/v1/usage/analyzed_logshttps://api.us5.datadoghq.com/api/v1/usage/analyzed_logs

Présentation

Récupérez l’utilisation horaire pour les logs analysés (Security Monitoring). This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

A response containing the number of analyzed logs for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for analyzed logs.

analyzed_logs

int64

Contains the number of analyzed logs.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "analyzed_logs": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/analyzed_logs?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for analyzed logs returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_analyzed_logs(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for analyzed logs returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_analyzed_logs((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for analyzed logs returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageAnalyzedLogs(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageAnalyzedLogsOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageAnalyzedLogs`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageAnalyzedLogs`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for analyzed logs returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageAnalyzedLogsOptionalParameters;
import com.datadog.api.client.v1.model.UsageAnalyzedLogsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageAnalyzedLogsResponse result =
          apiInstance.getUsageAnalyzedLogs(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageAnalyzedLogsOptionalParameters()
                  .endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageAnalyzedLogs");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for analyzed logs returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageAnalyzedLogsRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageAnalyzedLogs(params)
  .then((data: v1.UsageAnalyzedLogsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for SNMP devices

GET https://api.ap1.datadoghq.com/api/v1/usage/snmphttps://api.datadoghq.eu/api/v1/usage/snmphttps://api.ddog-gov.com/api/v1/usage/snmphttps://api.datadoghq.com/api/v1/usage/snmphttps://api.us3.datadoghq.com/api/v1/usage/snmphttps://api.us5.datadoghq.com/api/v1/usage/snmp

Présentation

Récupérez l’utilisation horaire pour les périphériques SNMP. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of SNMP devices for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for SNMP devices.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

snmp_devices

int64

Contains the number of SNMP devices.

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string",
      "snmp_devices": "integer"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/snmp?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for SNMP devices returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_snmp(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for SNMP devices returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_snmp((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for SNMP devices returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageSNMP(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageSNMPOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageSNMP`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageSNMP`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for SNMP devices returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageSNMPOptionalParameters;
import com.datadog.api.client.v1.model.UsageSNMPResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageSNMPResponse result =
          apiInstance.getUsageSNMP(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageSNMPOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageSNMP");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for SNMP devices returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageSNMPRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageSNMP(params)
  .then((data: v1.UsageSNMPResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for ingested spans

GET https://api.ap1.datadoghq.com/api/v1/usage/ingested-spanshttps://api.datadoghq.eu/api/v1/usage/ingested-spanshttps://api.ddog-gov.com/api/v1/usage/ingested-spanshttps://api.datadoghq.com/api/v1/usage/ingested-spanshttps://api.us3.datadoghq.com/api/v1/usage/ingested-spanshttps://api.us5.datadoghq.com/api/v1/usage/ingested-spans

Présentation

Récupérez l’utilisation horaire pour les spans ingérées. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the ingested spans usage for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for ingested spans.

hour

date-time

The hour for the usage.

ingested_events_bytes

int64

Contains the total number of bytes ingested for APM spans during a given hour.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "ingested_events_bytes": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/ingested-spans?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for ingested spans returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_ingested_spans(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for ingested spans returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_ingested_spans((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for ingested spans returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetIngestedSpans(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetIngestedSpansOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetIngestedSpans`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetIngestedSpans`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for ingested spans returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetIngestedSpansOptionalParameters;
import com.datadog.api.client.v1.model.UsageIngestedSpansResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageIngestedSpansResponse result =
          apiInstance.getIngestedSpans(
              OffsetDateTime.now().plusDays(-5),
              new GetIngestedSpansOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getIngestedSpans");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for ingested spans returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetIngestedSpansRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getIngestedSpans(params)
  .then((data: v1.UsageIngestedSpansResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for incident management

GET https://api.ap1.datadoghq.com/api/v1/usage/incident-managementhttps://api.datadoghq.eu/api/v1/usage/incident-managementhttps://api.ddog-gov.com/api/v1/usage/incident-managementhttps://api.datadoghq.com/api/v1/usage/incident-managementhttps://api.us3.datadoghq.com/api/v1/usage/incident-managementhttps://api.us5.datadoghq.com/api/v1/usage/incident-management

Présentation

Récupérez l’utilisation horaire pour la gestion des incidents. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the incident management usage for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for incident management.

hour

date-time

The hour for the usage.

monthly_active_users

int64

Contains the total number monthly active users from the start of the given hour's month until the given hour.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "monthly_active_users": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/incident-management?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for incident management returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_incident_management(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for incident management returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_incident_management((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for incident management returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetIncidentManagement(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetIncidentManagementOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetIncidentManagement`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetIncidentManagement`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for incident management returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetIncidentManagementOptionalParameters;
import com.datadog.api.client.v1.model.UsageIncidentManagementResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageIncidentManagementResponse result =
          apiInstance.getIncidentManagement(
              OffsetDateTime.now().plusDays(-5),
              new GetIncidentManagementOptionalParameters()
                  .endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getIncidentManagement");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for incident management returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetIncidentManagementRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getIncidentManagement(params)
  .then((data: v1.UsageIncidentManagementResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for IoT

GET https://api.ap1.datadoghq.com/api/v1/usage/iothttps://api.datadoghq.eu/api/v1/usage/iothttps://api.ddog-gov.com/api/v1/usage/iothttps://api.datadoghq.com/api/v1/usage/iothttps://api.us3.datadoghq.com/api/v1/usage/iothttps://api.us5.datadoghq.com/api/v1/usage/iot

Présentation

Récupérez l’utilisation horaire pour l’IoT. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the IoT usage for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for IoT.

hour

date-time

The hour for the usage.

iot_device_count

int64

The total number of IoT devices during a given hour.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "iot_device_count": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/iot?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for IoT returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_internet_of_things(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for IoT returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_internet_of_things((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for IoT returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageInternetOfThings(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageInternetOfThingsOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageInternetOfThings`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageInternetOfThings`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for IoT returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageInternetOfThingsOptionalParameters;
import com.datadog.api.client.v1.model.UsageIoTResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageIoTResponse result =
          apiInstance.getUsageInternetOfThings(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageInternetOfThingsOptionalParameters()
                  .endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageInternetOfThings");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for IoT returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageInternetOfThingsRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageInternetOfThings(params)
  .then((data: v1.UsageIoTResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for CSM Pro

GET https://api.ap1.datadoghq.com/api/v1/usage/cspmhttps://api.datadoghq.eu/api/v1/usage/cspmhttps://api.ddog-gov.com/api/v1/usage/cspmhttps://api.datadoghq.com/api/v1/usage/cspmhttps://api.us3.datadoghq.com/api/v1/usage/cspmhttps://api.us5.datadoghq.com/api/v1/usage/cspm

Présentation

Get hourly usage for cloud security management (CSM) pro. Note: This endpoint has been deprecated. Hourly usage data for all products is now available in the Get hourly usage by product family API. Refer to Migrating from the V1 Hourly Usage APIs to V2 for the associated migration guide. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

The response containing the Cloud Security Management Pro usage for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for Cloud Security Management Pro.

aas_host_count

double

The number of Cloud Security Management Pro Azure app services hosts during a given hour.

aws_host_count

double

The number of Cloud Security Management Pro AWS hosts during a given hour.

azure_host_count

double

The number of Cloud Security Management Pro Azure hosts during a given hour.

compliance_host_count

double

The number of Cloud Security Management Pro hosts during a given hour.

container_count

double

The total number of Cloud Security Management Pro containers during a given hour.

gcp_host_count

double

The number of Cloud Security Management Pro GCP hosts during a given hour.

host_count

double

The total number of Cloud Security Management Pro hosts during a given hour.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "aas_host_count": "number",
      "aws_host_count": "number",
      "azure_host_count": "number",
      "compliance_host_count": "number",
      "container_count": "number",
      "gcp_host_count": "number",
      "host_count": "number",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/cspm?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for CSM Pro returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_cloud_security_posture_management(
        start_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for CSM Pro returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_cloud_security_posture_management((Time.now + -3 * 86400))

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for CSM Pro returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageCloudSecurityPostureManagement(ctx, time.Now().AddDate(0, 0, -3), *datadogV1.NewGetUsageCloudSecurityPostureManagementOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageCloudSecurityPostureManagement`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageCloudSecurityPostureManagement`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for CSM Pro returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageCloudSecurityPostureManagementResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageCloudSecurityPostureManagementResponse result =
          apiInstance.getUsageCloudSecurityPostureManagement(OffsetDateTime.now().plusDays(-3));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println(
          "Exception when calling UsageMeteringApi#getUsageCloudSecurityPostureManagement");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for CSM Pro returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageCloudSecurityPostureManagementRequest =
  {
    startHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
  };

apiInstance
  .getUsageCloudSecurityPostureManagement(params)
  .then((data: v1.UsageCloudSecurityPostureManagementResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for cloud workload security

GET https://api.ap1.datadoghq.com/api/v1/usage/cwshttps://api.datadoghq.eu/api/v1/usage/cwshttps://api.ddog-gov.com/api/v1/usage/cwshttps://api.datadoghq.com/api/v1/usage/cwshttps://api.us3.datadoghq.com/api/v1/usage/cwshttps://api.us5.datadoghq.com/api/v1/usage/cws

Présentation

Get hourly usage for cloud workload security. Note: This endpoint has been deprecated. Hourly usage data for all products is now available in the Get hourly usage by product family API. Refer to Migrating from the V1 Hourly Usage APIs to V2 for the associated migration guide. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the Cloud Workload Security usage for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for Cloud Workload Security.

cws_container_count

int64

The total number of Cloud Workload Security container hours from the start of the given hour’s month until the given hour.

cws_host_count

int64

The total number of Cloud Workload Security host hours from the start of the given hour’s month until the given hour.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "cws_container_count": "integer",
      "cws_host_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/cws?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for cloud workload security returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_cws(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for cloud workload security returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_cws((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for cloud workload security returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageCWS(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageCWSOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageCWS`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageCWS`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for cloud workload security returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageCWSOptionalParameters;
import com.datadog.api.client.v1.model.UsageCWSResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageCWSResponse result =
          apiInstance.getUsageCWS(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageCWSOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageCWS");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for cloud workload security returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageCWSRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageCWS(params)
  .then((data: v1.UsageCWSResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for database monitoring

GET https://api.ap1.datadoghq.com/api/v1/usage/dbmhttps://api.datadoghq.eu/api/v1/usage/dbmhttps://api.ddog-gov.com/api/v1/usage/dbmhttps://api.datadoghq.com/api/v1/usage/dbmhttps://api.us3.datadoghq.com/api/v1/usage/dbmhttps://api.us5.datadoghq.com/api/v1/usage/dbm

Présentation

Get hourly usage for database monitoring Note: This endpoint has been deprecated. Hourly usage data for all products is now available in the Get hourly usage by product family API. Refer to Migrating from the V1 Hourly Usage APIs to V2 for the associated migration guide. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the Database Monitoring usage for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for Database Monitoring

dbm_host_count

int64

The total number of Database Monitoring host hours from the start of the given hour’s month until the given hour.

dbm_queries_count

int64

The total number of normalized Database Monitoring queries from the start of the given hour’s month until the given hour.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "dbm_host_count": "integer",
      "dbm_queries_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/dbm?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for database monitoring returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_dbm(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for database monitoring returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_dbm("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for database monitoring returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageDBM(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageDBMOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageDBM`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageDBM`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for database monitoring returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageDBMResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageDBMResponse result =
          apiInstance.getUsageDBM(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageDBM");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for database monitoring returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageDBMRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageDBM(params)
  .then((data: v1.UsageDBMResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for sensitive data scanner

GET https://api.ap1.datadoghq.com/api/v1/usage/sdshttps://api.datadoghq.eu/api/v1/usage/sdshttps://api.ddog-gov.com/api/v1/usage/sdshttps://api.datadoghq.com/api/v1/usage/sdshttps://api.us3.datadoghq.com/api/v1/usage/sdshttps://api.us5.datadoghq.com/api/v1/usage/sds

Présentation

Get hourly usage for sensitive data scanner. Note: This endpoint has been deprecated. Hourly usage data for all products is now available in the Get hourly usage by product family API. Refer to Migrating from the V1 Hourly Usage APIs to V2 for the associated migration guide. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the Sensitive Data Scanner usage for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for Sensitive Data Scanner.

apm_scanned_bytes

int64

The total number of bytes scanned of APM usage across all usage types by the Sensitive Data Scanner from the start of the given hour’s month until the given hour.

events_scanned_bytes

int64

The total number of bytes scanned of Events usage across all usage types by the Sensitive Data Scanner from the start of the given hour’s month until the given hour.

hour

date-time

The hour for the usage.

logs_scanned_bytes

int64

The total number of bytes scanned of logs usage by the Sensitive Data Scanner from the start of the given hour’s month until the given hour.

org_name

string

The organization name.

public_id

string

The organization public ID.

rum_scanned_bytes

int64

The total number of bytes scanned of RUM usage across all usage types by the Sensitive Data Scanner from the start of the given hour’s month until the given hour.

total_scanned_bytes

int64

The total number of bytes scanned across all usage types by the Sensitive Data Scanner from the start of the given hour’s month until the given hour.

{
  "usage": [
    {
      "apm_scanned_bytes": "integer",
      "events_scanned_bytes": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "logs_scanned_bytes": "integer",
      "org_name": "string",
      "public_id": "string",
      "rum_scanned_bytes": "integer",
      "total_scanned_bytes": "integer"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/sds?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for sensitive data scanner returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_sds(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for sensitive data scanner returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_sds("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for sensitive data scanner returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageSDS(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageSDSOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageSDS`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageSDS`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for sensitive data scanner returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageSDSResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageSDSResponse result =
          apiInstance.getUsageSDS(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageSDS");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for sensitive data scanner returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageSDSRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageSDS(params)
  .then((data: v1.UsageSDSResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for RUM units

GET https://api.ap1.datadoghq.com/api/v1/usage/rumhttps://api.datadoghq.eu/api/v1/usage/rumhttps://api.ddog-gov.com/api/v1/usage/rumhttps://api.datadoghq.com/api/v1/usage/rumhttps://api.us3.datadoghq.com/api/v1/usage/rumhttps://api.us5.datadoghq.com/api/v1/usage/rum

Présentation

Get hourly usage for RUM Units. Note: This endpoint has been deprecated. Hourly usage data for all products is now available in the Get hourly usage by product family API. Refer to Migrating from the V1 Hourly Usage APIs to V2 for the associated migration guide. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of RUM Units for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for RUM Units.

browser_rum_units

int64

The number of browser RUM units.

mobile_rum_units

int64

The number of mobile RUM units.

org_name

string

The organization name.

public_id

string

The organization public ID.

rum_units

int64

Total RUM units across mobile and browser RUM.

{
  "usage": [
    {
      "browser_rum_units": "integer",
      "mobile_rum_units": "integer",
      "org_name": "string",
      "public_id": "string",
      "rum_units": "integer"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/rum?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for RUM units returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_rum_units(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for RUM units returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_rum_units("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for RUM units returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageRumUnits(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageRumUnitsOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageRumUnits`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageRumUnits`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for RUM units returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageRumUnitsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageRumUnitsResponse result =
          apiInstance.getUsageRumUnits(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageRumUnits");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for RUM units returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageRumUnitsRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageRumUnits(params)
  .then((data: v1.UsageRumUnitsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for profiled hosts

GET https://api.ap1.datadoghq.com/api/v1/usage/profilinghttps://api.datadoghq.eu/api/v1/usage/profilinghttps://api.ddog-gov.com/api/v1/usage/profilinghttps://api.datadoghq.com/api/v1/usage/profilinghttps://api.us3.datadoghq.com/api/v1/usage/profilinghttps://api.us5.datadoghq.com/api/v1/usage/profiling

Présentation

Récupérez l’utilisation horaire pour les hosts profilés. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the number of profiled hosts for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for profiled hosts.

aas_count

int64

Contains the total number of profiled Azure app services reporting during a given hour.

avg_container_agent_count

int64

Get average number of container agents for that hour.

host_count

int64

Contains the total number of profiled hosts reporting during a given hour.

hour

date-time

The hour for the usage.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "aas_count": "integer",
      "avg_container_agent_count": "integer",
      "host_count": "integer",
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/profiling?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for profiled hosts returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_profiling(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for profiled hosts returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_profiling((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for profiled hosts returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageProfiling(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageProfilingOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageProfiling`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageProfiling`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for profiled hosts returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageProfilingOptionalParameters;
import com.datadog.api.client.v1.model.UsageProfilingResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageProfilingResponse result =
          apiInstance.getUsageProfiling(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageProfilingOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageProfiling");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for profiled hosts returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageProfilingRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageProfiling(params)
  .then((data: v1.UsageProfilingResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for CI visibility

GET https://api.ap1.datadoghq.com/api/v1/usage/ci-apphttps://api.datadoghq.eu/api/v1/usage/ci-apphttps://api.ddog-gov.com/api/v1/usage/ci-apphttps://api.datadoghq.com/api/v1/usage/ci-apphttps://api.us3.datadoghq.com/api/v1/usage/ci-apphttps://api.us5.datadoghq.com/api/v1/usage/ci-app

Présentation

Get hourly usage for CI visibility (tests, pipeline, and spans). Note: This endpoint has been deprecated. Hourly usage data for all products is now available in the Get hourly usage by product family API. Refer to Migrating from the V1 Hourly Usage APIs to V2 for the associated migration guide. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

CI visibility usage response

Expand All

Champ

Type

Description

usage

[object]

Response containing CI visibility usage.

ci_pipeline_indexed_spans

int64

The number of spans for pipelines in the queried hour.

ci_test_indexed_spans

int64

The number of spans for tests in the queried hour.

ci_visibility_itr_committers

int64

Shows the total count of all active Git committers for Intelligent Test Runner in the current month. A committer is active if they commit at least 3 times in a given month.

ci_visibility_pipeline_committers

int64

Shows the total count of all active Git committers for Pipelines in the current month. A committer is active if they commit at least 3 times in a given month.

ci_visibility_test_committers

int64

The total count of all active Git committers for tests in the current month. A committer is active if they commit at least 3 times in a given month.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "ci_pipeline_indexed_spans": "integer",
      "ci_test_indexed_spans": "integer",
      "ci_visibility_itr_committers": "integer",
      "ci_visibility_pipeline_committers": "integer",
      "ci_visibility_test_committers": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/ci-app?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for CI visibility returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_ci_app(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for CI visibility returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_ci_app((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for CI visibility returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageCIApp(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageCIAppOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageCIApp`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageCIApp`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for CI visibility returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageCIAppOptionalParameters;
import com.datadog.api.client.v1.model.UsageCIVisibilityResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageCIVisibilityResponse result =
          apiInstance.getUsageCIApp(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageCIAppOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageCIApp");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for CI visibility returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageCIAppRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageCIApp(params)
  .then((data: v1.UsageCIVisibilityResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for online archive

GET https://api.ap1.datadoghq.com/api/v1/usage/online-archivehttps://api.datadoghq.eu/api/v1/usage/online-archivehttps://api.ddog-gov.com/api/v1/usage/online-archivehttps://api.datadoghq.com/api/v1/usage/online-archivehttps://api.us3.datadoghq.com/api/v1/usage/online-archivehttps://api.us5.datadoghq.com/api/v1/usage/online-archive

Présentation

Get hourly usage for online archive. Note: This endpoint has been deprecated. Hourly usage data for all products is now available in the Get hourly usage by product family API. Refer to Migrating from the V1 Hourly Usage APIs to V2 for the associated migration guide. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Online Archive usage response.

Expand All

Champ

Type

Description

usage

[object]

Response containing Online Archive usage.

hour

date-time

The hour for the usage.

online_archive_events_count

int64

Total count of online archived events within the hour.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "online_archive_events_count": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/online-archive?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for online archive returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datetime import datetime
from dateutil.tz import tzutc

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_online_archive(
        start_hr=datetime(2021, 11, 11, 11, 11, 11, 111000, tzinfo=tzutc()),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for online archive returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_online_archive("2021-11-11T11:11:11.111+00:00")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for online archive returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageOnlineArchive(ctx, time.Date(2021, 11, 11, 11, 11, 11, 111000, time.UTC), *datadogV1.NewGetUsageOnlineArchiveOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageOnlineArchive`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageOnlineArchive`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for online archive returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageOnlineArchiveResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageOnlineArchiveResponse result =
          apiInstance.getUsageOnlineArchive(OffsetDateTime.parse("2021-11-11T11:11:11.111+00:00"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageOnlineArchive");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for online archive returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageOnlineArchiveRequest = {
  startHr: new Date(2021, 11, 11, 11, 11, 11, 111000),
};

apiInstance
  .getUsageOnlineArchive(params)
  .then((data: v1.UsageOnlineArchiveResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for Lambda traced invocations

GET https://api.ap1.datadoghq.com/api/v2/usage/lambda_traced_invocationshttps://api.datadoghq.eu/api/v2/usage/lambda_traced_invocationshttps://api.ddog-gov.com/api/v2/usage/lambda_traced_invocationshttps://api.datadoghq.com/api/v2/usage/lambda_traced_invocationshttps://api.us3.datadoghq.com/api/v2/usage/lambda_traced_invocationshttps://api.us5.datadoghq.com/api/v2/usage/lambda_traced_invocations

Présentation

Get hourly usage for Lambda traced invocations. Note: This endpoint has been deprecated.. Hourly usage data for all products is now available in the Get hourly usage by product family API This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Lambda Traced Invocations usage response.

Expand All

Champ

Type

Description

data

[object]

Response containing Lambda Traced Invocations usage.

attributes

object

Usage attributes data.

org_name

string

The organization name.

product_family

string

The product for which usage is being reported.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

timeseries

[object]

List of usage data reported for each requested hour.

timestamp

date-time

Datetime in ISO-8601 format, UTC. The hour for the usage.

value

int64

Contains the number measured for the given usage_type during the hour.

usage_type

enum

Usage type that is being measured. Allowed enum values: app_sec_host_count,observability_pipelines_bytes_processed,lambda_traced_invocations_count

id

string

Unique ID of the response.

type

enum

Type of usage data. Allowed enum values: usage_timeseries

default: usage_timeseries

{
  "data": [
    {
      "attributes": {
        "org_name": "string",
        "product_family": "string",
        "public_id": "string",
        "region": "string",
        "timeseries": [
          {
            "timestamp": "2019-09-19T10:00:00.000Z",
            "value": "integer"
          }
        ],
        "usage_type": "observability_pipelines_bytes_processed"
      },
      "id": "string",
      "type": "usage_timeseries"
    }
  ]
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/lambda_traced_invocations?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for Lambda traced invocations returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_lambda_traced_invocations(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for Lambda traced invocations returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_lambda_traced_invocations((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for Lambda traced invocations returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageLambdaTracedInvocations(ctx, time.Now().AddDate(0, 0, -5), *datadogV2.NewGetUsageLambdaTracedInvocationsOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageLambdaTracedInvocations`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageLambdaTracedInvocations`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for Lambda traced invocations returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.api.UsageMeteringApi.GetUsageLambdaTracedInvocationsOptionalParameters;
import com.datadog.api.client.v2.model.UsageLambdaTracedInvocationsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageLambdaTracedInvocationsResponse result =
          apiInstance.getUsageLambdaTracedInvocations(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageLambdaTracedInvocationsOptionalParameters()
                  .endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageLambdaTracedInvocations");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for Lambda traced invocations returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetUsageLambdaTracedInvocationsRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageLambdaTracedInvocations(params)
  .then((data: v2.UsageLambdaTracedInvocationsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for application security

GET https://api.ap1.datadoghq.com/api/v2/usage/application_securityhttps://api.datadoghq.eu/api/v2/usage/application_securityhttps://api.ddog-gov.com/api/v2/usage/application_securityhttps://api.datadoghq.com/api/v2/usage/application_securityhttps://api.us3.datadoghq.com/api/v2/usage/application_securityhttps://api.us5.datadoghq.com/api/v2/usage/application_security

Présentation

Get hourly usage for application security . Note: This endpoint has been deprecated. Hourly usage data for all products is now available in the Get hourly usage by product family API This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Application Security Monitoring usage response.

Expand All

Champ

Type

Description

data

[object]

Response containing Application Security Monitoring usage.

attributes

object

Usage attributes data.

org_name

string

The organization name.

product_family

string

The product for which usage is being reported.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

timeseries

[object]

List of usage data reported for each requested hour.

timestamp

date-time

Datetime in ISO-8601 format, UTC. The hour for the usage.

value

int64

Contains the number measured for the given usage_type during the hour.

usage_type

enum

Usage type that is being measured. Allowed enum values: app_sec_host_count,observability_pipelines_bytes_processed,lambda_traced_invocations_count

id

string

Unique ID of the response.

type

enum

Type of usage data. Allowed enum values: usage_timeseries

default: usage_timeseries

{
  "data": [
    {
      "attributes": {
        "org_name": "string",
        "product_family": "string",
        "public_id": "string",
        "region": "string",
        "timeseries": [
          {
            "timestamp": "2019-09-19T10:00:00.000Z",
            "value": "integer"
          }
        ],
        "usage_type": "observability_pipelines_bytes_processed"
      },
      "id": "string",
      "type": "usage_timeseries"
    }
  ]
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/application_security?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for application security returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_application_security_monitoring(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for application security returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_application_security_monitoring((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for application security returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageApplicationSecurityMonitoring(ctx, time.Now().AddDate(0, 0, -5), *datadogV2.NewGetUsageApplicationSecurityMonitoringOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageApplicationSecurityMonitoring`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageApplicationSecurityMonitoring`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for application security returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.api.UsageMeteringApi.GetUsageApplicationSecurityMonitoringOptionalParameters;
import com.datadog.api.client.v2.model.UsageApplicationSecurityMonitoringResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageApplicationSecurityMonitoringResponse result =
          apiInstance.getUsageApplicationSecurityMonitoring(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageApplicationSecurityMonitoringOptionalParameters()
                  .endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println(
          "Exception when calling UsageMeteringApi#getUsageApplicationSecurityMonitoring");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for application security returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetUsageApplicationSecurityMonitoringRequest =
  {
    startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
    endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
  };

apiInstance
  .getUsageApplicationSecurityMonitoring(params)
  .then((data: v2.UsageApplicationSecurityMonitoringResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for observability pipelines

GET https://api.ap1.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.datadoghq.eu/api/v2/usage/observability_pipelineshttps://api.ddog-gov.com/api/v2/usage/observability_pipelineshttps://api.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.us3.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.us5.datadoghq.com/api/v2/usage/observability_pipelines

Présentation

Get hourly usage for observability pipelines. Note: This endpoint has been deprecated. Hourly usage data for all products is now available in the Get hourly usage by product family API This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Observability Pipelines usage response.

Expand All

Champ

Type

Description

data

[object]

Response containing Observability Pipelines usage.

attributes

object

Usage attributes data.

org_name

string

The organization name.

product_family

string

The product for which usage is being reported.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

timeseries

[object]

List of usage data reported for each requested hour.

timestamp

date-time

Datetime in ISO-8601 format, UTC. The hour for the usage.

value

int64

Contains the number measured for the given usage_type during the hour.

usage_type

enum

Usage type that is being measured. Allowed enum values: app_sec_host_count,observability_pipelines_bytes_processed,lambda_traced_invocations_count

id

string

Unique ID of the response.

type

enum

Type of usage data. Allowed enum values: usage_timeseries

default: usage_timeseries

{
  "data": [
    {
      "attributes": {
        "org_name": "string",
        "product_family": "string",
        "public_id": "string",
        "region": "string",
        "timeseries": [
          {
            "timestamp": "2019-09-19T10:00:00.000Z",
            "value": "integer"
          }
        ],
        "usage_type": "observability_pipelines_bytes_processed"
      },
      "id": "string",
      "type": "usage_timeseries"
    }
  ]
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for observability pipelines returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_observability_pipelines(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for observability pipelines returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_observability_pipelines((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for observability pipelines returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageObservabilityPipelines(ctx, time.Now().AddDate(0, 0, -5), *datadogV2.NewGetUsageObservabilityPipelinesOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageObservabilityPipelines`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageObservabilityPipelines`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for observability pipelines returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.api.UsageMeteringApi.GetUsageObservabilityPipelinesOptionalParameters;
import com.datadog.api.client.v2.model.UsageObservabilityPipelinesResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageObservabilityPipelinesResponse result =
          apiInstance.getUsageObservabilityPipelines(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageObservabilityPipelinesOptionalParameters()
                  .endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageObservabilityPipelines");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for observability pipelines returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetUsageObservabilityPipelinesRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageObservabilityPipelines(params)
  .then((data: v2.UsageObservabilityPipelinesResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for audit logs

GET https://api.ap1.datadoghq.com/api/v1/usage/audit_logshttps://api.datadoghq.eu/api/v1/usage/audit_logshttps://api.ddog-gov.com/api/v1/usage/audit_logshttps://api.datadoghq.com/api/v1/usage/audit_logshttps://api.us3.datadoghq.com/api/v1/usage/audit_logshttps://api.us5.datadoghq.com/api/v1/usage/audit_logs

Présentation

Get hourly usage for audit logs. Note: This endpoint has been deprecated. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

Réponse

OK

Response containing the audit logs usage for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for audit logs.

hour

date-time

The hour for the usage.

lines_indexed

int64

The total number of audit logs lines indexed during a given hour.

org_name

string

The organization name.

public_id

string

The organization public ID.

{
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "lines_indexed": "integer",
      "org_name": "string",
      "public_id": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_hr="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/audit_logs?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get hourly usage for audit logs returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_audit_logs(
        start_hr=(datetime.now() + relativedelta(days=-5)),
        end_hr=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for audit logs returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_audit_logs((Time.now + -5 * 86400), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for audit logs returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageAuditLogs(ctx, time.Now().AddDate(0, 0, -5), *datadogV1.NewGetUsageAuditLogsOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageAuditLogs`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageAuditLogs`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get hourly usage for audit logs returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageAuditLogsOptionalParameters;
import com.datadog.api.client.v1.model.UsageAuditLogsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageAuditLogsResponse result =
          apiInstance.getUsageAuditLogs(
              OffsetDateTime.now().plusDays(-5),
              new GetUsageAuditLogsOptionalParameters().endHr(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageAuditLogs");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get hourly usage for audit logs returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageAuditLogsRequest = {
  startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
  endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageAuditLogs(params)
  .then((data: v1.UsageAuditLogsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get the list of available daily custom reports

GET https://api.ap1.datadoghq.com/api/v1/daily_custom_reportshttps://api.datadoghq.eu/api/v1/daily_custom_reportshttps://api.ddog-gov.com/api/v1/daily_custom_reportshttps://api.datadoghq.com/api/v1/daily_custom_reportshttps://api.us3.datadoghq.com/api/v1/daily_custom_reportshttps://api.us5.datadoghq.com/api/v1/daily_custom_reports

Présentation

Récupérez des rapports personnalisés journaliers. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

page[size]

integer

The number of files to return in the response. [default=60].

page[number]

integer

The identifier of the first page to return. This parameter is used for the pagination feature [default=0].

sort_dir

enum

The direction to sort by: [desc, asc].
Allowed enum values: desc, asc

sort

enum

The field to sort by: [computed_on, size, start_date, end_date].
Allowed enum values: computed_on, size, start_date, end_date

Réponse

OK

Response containing available custom reports.

Expand All

Champ

Type

Description

data

[object]

An array of available custom reports.

attributes

object

The response containing attributes for custom reports.

computed_on

string

The date the specified custom report was computed.

end_date

string

The ending date of custom report.

size

int64

size

start_date

string

The starting date of custom report.

tags

[string]

A list of tags to apply to custom reports.

id

string

The date for specified custom reports.

type

enum

The type of reports. Allowed enum values: reports

default: reports

meta

object

The object containing document metadata.

page

object

The object containing page total count.

total_count

int64

Total page count.

{
  "data": [
    {
      "attributes": {
        "computed_on": "string",
        "end_date": "string",
        "size": "integer",
        "start_date": "string",
        "tags": [
          "env"
        ]
      },
      "id": "string",
      "type": "reports"
    }
  ],
  "meta": {
    "page": {
      "total_count": "integer"
    }
  }
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/daily_custom_reports" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get the list of available daily custom reports returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_daily_custom_reports()

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get the list of available daily custom reports returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_daily_custom_reports()

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get the list of available daily custom reports returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetDailyCustomReports(ctx, *datadogV1.NewGetDailyCustomReportsOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetDailyCustomReports`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetDailyCustomReports`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get the list of available daily custom reports returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageCustomReportsResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageCustomReportsResponse result = apiInstance.getDailyCustomReports();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getDailyCustomReports");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get the list of available daily custom reports returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

apiInstance
  .getDailyCustomReports()
  .then((data: v1.UsageCustomReportsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get specified daily custom reports

GET https://api.ap1.datadoghq.com/api/v1/daily_custom_reports/{report_id}https://api.datadoghq.eu/api/v1/daily_custom_reports/{report_id}https://api.ddog-gov.com/api/v1/daily_custom_reports/{report_id}https://api.datadoghq.com/api/v1/daily_custom_reports/{report_id}https://api.us3.datadoghq.com/api/v1/daily_custom_reports/{report_id}https://api.us5.datadoghq.com/api/v1/daily_custom_reports/{report_id}

Présentation

Récupérez les rapports personnalisés journaliers spécifiés. This endpoint requires the usage_read authorization scope.

Arguments

Paramètres du chemin

Nom

Type

Description

report_id [required]

string

Date of the report in the format YYYY-MM-DD.

Réponse

OK

Returns available specified custom reports.

Expand All

Champ

Type

Description

data

object

Response containing date and type for specified custom reports.

attributes

object

The response containing attributes for specified custom reports.

computed_on

string

The date the specified custom report was computed.

end_date

string

The ending date of specified custom report.

location

string

A downloadable file for the specified custom reporting file.

size

int64

size

start_date

string

The starting date of specified custom report.

tags

[string]

A list of tags to apply to specified custom reports.

id

string

The date for specified custom reports.

type

enum

The type of reports. Allowed enum values: reports

default: reports

meta

object

The object containing document metadata.

page

object

The object containing page total count for specified ID.

total_count

int64

Total page count.

{
  "data": {
    "attributes": {
      "computed_on": "string",
      "end_date": "string",
      "location": "https://an-s3-or-gs-bucket.s3.amazonaws.com",
      "size": "integer",
      "start_date": "string",
      "tags": [
        "env"
      ]
    },
    "id": "string",
    "type": "reports"
  },
  "meta": {
    "page": {
      "total_count": "integer"
    }
  }
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Not Found

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Path parameters
export report_id="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/daily_custom_reports/${report_id}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get specified daily custom reports returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_specified_daily_custom_reports(
        report_id="2022-03-20",
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get specified daily custom reports returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_specified_daily_custom_reports("2022-03-20")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get specified daily custom reports returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetSpecifiedDailyCustomReports(ctx, "2022-03-20")

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetSpecifiedDailyCustomReports`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetSpecifiedDailyCustomReports`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get specified daily custom reports returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageSpecifiedCustomReportsResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageSpecifiedCustomReportsResponse result =
          apiInstance.getSpecifiedDailyCustomReports("2022-03-20");
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getSpecifiedDailyCustomReports");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get specified daily custom reports returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetSpecifiedDailyCustomReportsRequest = {
  reportId: "2022-03-20",
};

apiInstance
  .getSpecifiedDailyCustomReports(params)
  .then((data: v1.UsageSpecifiedCustomReportsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get the list of available monthly custom reports

GET https://api.ap1.datadoghq.com/api/v1/monthly_custom_reportshttps://api.datadoghq.eu/api/v1/monthly_custom_reportshttps://api.ddog-gov.com/api/v1/monthly_custom_reportshttps://api.datadoghq.com/api/v1/monthly_custom_reportshttps://api.us3.datadoghq.com/api/v1/monthly_custom_reportshttps://api.us5.datadoghq.com/api/v1/monthly_custom_reports

Présentation

Récupérez des rapports personnalisés mensuels. This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

page[size]

integer

The number of files to return in the response [default=60].

page[number]

integer

The identifier of the first page to return. This parameter is used for the pagination feature [default=0].

sort_dir

enum

The direction to sort by: [desc, asc].
Allowed enum values: desc, asc

sort

enum

The field to sort by: [computed_on, size, start_date, end_date].
Allowed enum values: computed_on, size, start_date, end_date

Réponse

OK

Response containing available custom reports.

Expand All

Champ

Type

Description

data

[object]

An array of available custom reports.

attributes

object

The response containing attributes for custom reports.

computed_on

string

The date the specified custom report was computed.

end_date

string

The ending date of custom report.

size

int64

size

start_date

string

The starting date of custom report.

tags

[string]

A list of tags to apply to custom reports.

id

string

The date for specified custom reports.

type

enum

The type of reports. Allowed enum values: reports

default: reports

meta

object

The object containing document metadata.

page

object

The object containing page total count.

total_count

int64

Total page count.

{
  "data": [
    {
      "attributes": {
        "computed_on": "string",
        "end_date": "string",
        "size": "integer",
        "start_date": "string",
        "tags": [
          "env"
        ]
      },
      "id": "string",
      "type": "reports"
    }
  ],
  "meta": {
    "page": {
      "total_count": "integer"
    }
  }
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/monthly_custom_reports" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get the list of available monthly custom reports returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_monthly_custom_reports()

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get the list of available monthly custom reports returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_monthly_custom_reports()

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get the list of available monthly custom reports returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetMonthlyCustomReports(ctx, *datadogV1.NewGetMonthlyCustomReportsOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetMonthlyCustomReports`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetMonthlyCustomReports`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get the list of available monthly custom reports returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageCustomReportsResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageCustomReportsResponse result = apiInstance.getMonthlyCustomReports();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getMonthlyCustomReports");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get the list of available monthly custom reports returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

apiInstance
  .getMonthlyCustomReports()
  .then((data: v1.UsageCustomReportsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get specified monthly custom reports

GET https://api.ap1.datadoghq.com/api/v1/monthly_custom_reports/{report_id}https://api.datadoghq.eu/api/v1/monthly_custom_reports/{report_id}https://api.ddog-gov.com/api/v1/monthly_custom_reports/{report_id}https://api.datadoghq.com/api/v1/monthly_custom_reports/{report_id}https://api.us3.datadoghq.com/api/v1/monthly_custom_reports/{report_id}https://api.us5.datadoghq.com/api/v1/monthly_custom_reports/{report_id}

Présentation

Récupérez les rapports personnalisés mensuels spécifiés. This endpoint requires the usage_read authorization scope.

Arguments

Paramètres du chemin

Nom

Type

Description

report_id [required]

string

Date of the report in the format YYYY-MM-DD.

Réponse

OK

Returns available specified custom reports.

Expand All

Champ

Type

Description

data

object

Response containing date and type for specified custom reports.

attributes

object

The response containing attributes for specified custom reports.

computed_on

string

The date the specified custom report was computed.

end_date

string

The ending date of specified custom report.

location

string

A downloadable file for the specified custom reporting file.

size

int64

size

start_date

string

The starting date of specified custom report.

tags

[string]

A list of tags to apply to specified custom reports.

id

string

The date for specified custom reports.

type

enum

The type of reports. Allowed enum values: reports

default: reports

meta

object

The object containing document metadata.

page

object

The object containing page total count for specified ID.

total_count

int64

Total page count.

{
  "data": {
    "attributes": {
      "computed_on": "string",
      "end_date": "string",
      "location": "https://an-s3-or-gs-bucket.s3.amazonaws.com",
      "size": "integer",
      "start_date": "string",
      "tags": [
        "env"
      ]
    },
    "id": "string",
    "type": "reports"
  },
  "meta": {
    "page": {
      "total_count": "integer"
    }
  }
}

Bad Request

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Not Found

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Champ

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Path parameters
export report_id="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/monthly_custom_reports/${report_id}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get specified monthly custom reports returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_specified_monthly_custom_reports(
        report_id="2021-05-01",
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get specified monthly custom reports returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_specified_monthly_custom_reports("2021-05-01")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get specified monthly custom reports returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetSpecifiedMonthlyCustomReports(ctx, "2021-05-01")

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetSpecifiedMonthlyCustomReports`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetSpecifiedMonthlyCustomReports`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get specified monthly custom reports returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageSpecifiedCustomReportsResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageSpecifiedCustomReportsResponse result =
          apiInstance.getSpecifiedMonthlyCustomReports("2021-05-01");
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println(
          "Exception when calling UsageMeteringApi#getSpecifiedMonthlyCustomReports");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get specified monthly custom reports returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetSpecifiedMonthlyCustomReportsRequest = {
  reportId: "2021-05-01",
};

apiInstance
  .getSpecifiedMonthlyCustomReports(params)
  .then((data: v1.UsageSpecifiedCustomReportsResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get cost across multi-org account

GET https://api.ap1.datadoghq.com/api/v2/usage/cost_by_orghttps://api.datadoghq.eu/api/v2/usage/cost_by_orghttps://api.ddog-gov.com/api/v2/usage/cost_by_orghttps://api.datadoghq.com/api/v2/usage/cost_by_orghttps://api.us3.datadoghq.com/api/v2/usage/cost_by_orghttps://api.us5.datadoghq.com/api/v2/usage/cost_by_org

Présentation

Get cost across multi-org account. Cost by org data for a given month becomes available no later than the 16th of the following month. Note: This endpoint has been deprecated. Please use the new endpoint /historical_cost instead.

This endpoint is only accessible for parent-level organizations.

This endpoint requires the usage_read authorization scope.

Arguments

Chaînes de requête

Nom

Type

Description

start_month [required]

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost beginning this month.

end_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost ending this month.

Réponse

OK

Chargeback Summary response.

Expand All

Champ

Type

Description

data

[object]

Response containing Chargeback Summary.

attributes

object

Cost attributes data.

charges

[object]

List of charges data reported for the requested month.

charge_type

string

The type of charge for a particular product.

cost

double

The cost for a particular product and charge type during a given month.

product_name

string

The product for which cost is being reported.

date

date-time

The month requested.

org_name

string

The organization name.

public_id

string

The organization public ID.

region

string

The region of the Datadog instance that the organization belongs to.

total_cost

double

The total cost of products for the month.

id

string

Unique ID of the response.

type

enum

Type of cost data. Allowed enum values: cost_by_org

default: cost_by_org

{
  "data": [
    {
      "attributes": {
        "charges": [
          {
            "charge_type": "on_demand",
            "cost": "number",
            "product_name": "infra_host"
          }
        ],
        "date": "2019-09-19T10:00:00.000Z",
        "org_name": "string",
        "public_id": "string",
        "region": "string",
        "total_cost": "number"
      },
      "id": "string",
      "type": "cost_by_org"
    }
  ]
}

Bad Request

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Champ

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Exemple de code

                  # Required query arguments
export start_month="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/cost_by_org?start_month=${start_month}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get cost across multi-org account returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_cost_by_org(
        start_month=(datetime.now() + relativedelta(days=-3)),
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get cost across multi-org account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
p api_instance.get_cost_by_org((Time.now + -3 * 86400))

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get cost across multi-org account returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetCostByOrg(ctx, time.Now().AddDate(0, 0, -3), *datadogV2.NewGetCostByOrgOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetCostByOrg`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetCostByOrg`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get cost across multi-org account returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.model.CostByOrgResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      CostByOrgResponse result = apiInstance.getCostByOrg(OffsetDateTime.now().plusDays(-3));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getCostByOrg");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
/**
 * Get cost across multi-org account returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetCostByOrgRequest = {
  startMonth: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getCostByOrg(params)
  .then((data: v2.CostByOrgResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"