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.

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. Pour en savoir plus, consultez la documentation relative aux détails de lʼutilisation (en anglais).

Get billing dimension mapping for usage endpoints

v2 (latest)

GET https://api.ap1.datadoghq.com/api/v2/usage/billing_dimension_mappinghttps://api.ap2.datadoghq.com/api/v2/usage/billing_dimension_mappinghttps://api.datadoghq.eu/api/v2/usage/billing_dimension_mappinghttps://api.ddog-gov.com/api/v2/usage/billing_dimension_mappinghttps://api.datadoghq.com/api/v2/usage/billing_dimension_mappinghttps://api.us3.datadoghq.com/api/v2/usage/billing_dimension_mappinghttps://api.us5.datadoghq.com/api/v2/usage/billing_dimension_mapping

Présentation

Get a mapping of billing dimensions to the corresponding keys for the supported usage metering public API endpoints. Mapping data is updated on a monthly cadence.

This endpoint is only accessible to parent-level organizations.

This endpoint requires the usage_read permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

Arguments

Chaînes de requête

Nom

Type

Description

filter[month]

string

Datetime in ISO-8601 format, UTC, and for mappings beginning this month. Defaults to the current month.

filter[view]

string

String to specify whether to retrieve active billing dimension mappings for the contract or for all available mappings. Allowed views have the string active or all. Defaults to active.

Réponse

Billing dimensions mapping response.

Expand All

Champ

Type

Description

data

[object]

Billing dimensions mapping data.

{
  "data": [
    {
      "attributes": {
        "endpoints": [
          {
            "id": "api/v1/usage/billable-summary",
            "keys": [
              "apm_host_top99p",
              "apm_host_sum"
            ],
            "status": "string"
          }
        ],
        "in_app_label": "APM Hosts",
        "timestamp": "2019-09-19T10:00:00.000Z"
      },
      "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.ap2.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/billing_dimension_mapping" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                

"""
Get billing dimension mapping for usage endpoints 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_billing_dimension_mapping()

    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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get billing dimension mapping for usage endpoints returns "OK" response

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

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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get billing dimension mapping for usage endpoints 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.GetBillingDimensionMapping(ctx, *datadogV2.NewGetBillingDimensionMappingOptionalParameters())

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetBillingDimensionMapping`:\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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get billing dimension mapping for usage endpoints 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.BillingDimensionsMappingResponse;

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

    try {
      BillingDimensionsMappingResponse result = apiInstance.getBillingDimensionMapping();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getBillingDimensionMapping");
      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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

// Get billing dimension mapping for usage endpoints returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetBillingDimensionMappingOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_billing_dimension_mapping(GetBillingDimensionMappingOptionalParams::default())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * Get billing dimension mapping for usage endpoints returns "OK" response
 */

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

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

apiInstance
  .getBillingDimensionMapping()
  .then((data: v2.BillingDimensionsMappingResponse) => {
    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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage by product family

v2 (latest)

GET https://api.ap1.datadoghq.com/api/v2/usage/hourly_usagehttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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, cloud_siem, 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, llm_observability, logs, network_flows, network_hosts, network_monitoring, observability_pipelines, online_archive, profiling, product_analytics, rum, rum_browser_sessions, rum_mobile_sessions, sds, snmp, software_delivery, synthetics_api, synthetics_browser, synthetics_mobile, synthetics_parallel_testing, timeseries, vuln_management and workflow_executions. 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_connected_accounts]

boolean

Boolean to specify whether to include accounts connected to the current account as partner customers in the Datadog partner network program. 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

Hourly usage response.

Expand All

Champ

Type

Description

data

[object]

Response containing hourly usage.

meta

object

The object containing document metadata.

{
  "data": [
    {
      "attributes": {
        "account_name": "string",
        "account_public_id": "string",
        "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetHourlyUsageOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_hourly_usage(
            DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            "infra_hosts".to_string(),
            GetHourlyUsageOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage attribution

v1 (latest)

GET https://api.ap1.datadoghq.com/api/v1/usage/hourly-attributionhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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. The following values have been deprecated: estimated_indexed_spans_usage, estimated_ingested_spans_usage.
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, code_security_host_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_fargate_task_usage, cws_hosts_usage, data_jobs_monitoring_usage, data_stream_monitoring_usage, dbm_hosts_usage, dbm_queries_usage, error_tracking_usage, error_tracking_percentage, estimated_indexed_spans_usage, estimated_ingested_spans_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, llm_observability_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, network_device_wireless_usage, obs_pipeline_bytes_usage, obs_pipelines_vcpu_usage, online_archive_usage, product_analytics_session_usage, profiled_container_usage, profiled_fargate_usage, profiled_host_usage, published_app, rum_browser_mobile_sessions_usage, rum_ingested_usage, rum_investigate_usage, rum_replay_sessions_usage, rum_session_replay_add_on_usage, sca_fargate_usage, sds_scanned_bytes_usage, serverless_apps_usage, siem_analyzed_logs_add_on_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

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

Expand All

Champ

Type

Description

metadata

object

The object containing document metadata.

usage

[object]

Get the hourly usage attribution by tag(s).

usage_type

enum

Supported products for hourly usage attribution requests. The following values have been deprecated: estimated_indexed_spans_usage, estimated_ingested_spans_usage. 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,code_security_host_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_fargate_task_usage,cws_hosts_usage,data_jobs_monitoring_usage,data_stream_monitoring_usage,dbm_hosts_usage,dbm_queries_usage,error_tracking_usage,error_tracking_percentage,estimated_indexed_spans_usage,estimated_ingested_spans_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,llm_observability_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,network_device_wireless_usage,obs_pipeline_bytes_usage,obs_pipelines_vcpu_usage,online_archive_usage,product_analytics_session_usage,profiled_container_usage,profiled_fargate_usage,profiled_host_usage,published_app,rum_browser_mobile_sessions_usage,rum_ingested_usage,rum_investigate_usage,rum_replay_sessions_usage,rum_session_replay_add_on_usage,sca_fargate_usage,sds_scanned_bytes_usage,serverless_apps_usage,siem_analyzed_logs_add_on_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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetHourlyUsageAttributionOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;
use datadog_api_client::datadogV1::model::HourlyUsageAttributionUsageType;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_hourly_usage_attribution(
            DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            HourlyUsageAttributionUsageType::INFRA_HOST_USAGE,
            GetHourlyUsageAttributionOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get monthly usage attribution

v1 (latest)

GET https://api.ap1.datadoghq.com/api/v1/usage/monthly-attributionhttps://api.ap2.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.

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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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. The following values have been deprecated: estimated_indexed_spans_usage, estimated_indexed_spans_percentage, estimated_ingested_spans_usage, estimated_ingested_spans_percentage.
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, code_security_host_usage, code_security_host_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_fargate_task_percentage, cws_fargate_task_usage, cws_hosts_percentage, cws_hosts_usage, data_jobs_monitoring_usage, data_jobs_monitoring_percentage, data_stream_monitoring_usage, data_stream_monitoring_percentage, dbm_hosts_percentage, dbm_hosts_usage, dbm_queries_percentage, dbm_queries_usage, error_tracking_usage, error_tracking_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, llm_observability_usage, llm_observability_percentage, mobile_app_testing_percentage, mobile_app_testing_usage, ndm_netflow_usage, ndm_netflow_percentage, network_device_wireless_usage, network_device_wireless_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, product_analytics_session_usage, product_analytics_session_percentage, profiled_container_usage, profiled_container_percentage, profiled_fargate_usage, profiled_fargate_percentage, profiled_host_usage, profiled_host_percentage, published_app_usage, published_app_percentage, serverless_apps_usage, serverless_apps_percentage, snmp_usage, snmp_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_ingested_usage, rum_ingested_percentage, rum_investigate_usage, rum_investigate_percentage, rum_replay_sessions_usage, rum_replay_sessions_percentage, rum_session_replay_add_on_usage, rum_session_replay_add_on_percentage, rum_browser_mobile_sessions_usage, rum_browser_mobile_sessions_percentage, ingested_spans_bytes_usage, ingested_spans_bytes_percentage, siem_analyzed_logs_add_on_usage, siem_analyzed_logs_add_on_percentage, siem_ingested_bytes_usage, siem_ingested_bytes_percentage, workflow_executions_usage, workflow_executions_percentage, sca_fargate_usage, sca_fargate_percentage, *

sort_direction

enum

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

sort_name

enum

The field to sort by. The following values have been deprecated: estimated_indexed_spans_usage, estimated_indexed_spans_percentage, estimated_ingested_spans_usage, estimated_ingested_spans_percentage.
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, code_security_host_usage, code_security_host_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_fargate_task_percentage, cws_fargate_task_usage, cws_hosts_percentage, cws_hosts_usage, data_jobs_monitoring_usage, data_jobs_monitoring_percentage, data_stream_monitoring_usage, data_stream_monitoring_percentage, dbm_hosts_percentage, dbm_hosts_usage, dbm_queries_percentage, dbm_queries_usage, error_tracking_usage, error_tracking_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, llm_observability_usage, llm_observability_percentage, mobile_app_testing_percentage, mobile_app_testing_usage, ndm_netflow_usage, ndm_netflow_percentage, network_device_wireless_usage, network_device_wireless_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, product_analytics_session_usage, product_analytics_session_percentage, profiled_container_usage, profiled_container_percentage, profiled_fargate_usage, profiled_fargate_percentage, profiled_host_usage, profiled_host_percentage, published_app_usage, published_app_percentage, serverless_apps_usage, serverless_apps_percentage, snmp_usage, snmp_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_ingested_usage, rum_ingested_percentage, rum_investigate_usage, rum_investigate_percentage, rum_replay_sessions_usage, rum_replay_sessions_percentage, rum_session_replay_add_on_usage, rum_session_replay_add_on_percentage, rum_browser_mobile_sessions_usage, rum_browser_mobile_sessions_percentage, ingested_spans_bytes_usage, ingested_spans_bytes_percentage, siem_analyzed_logs_add_on_usage, siem_analyzed_logs_add_on_percentage, siem_ingested_bytes_usage, siem_ingested_bytes_percentage, workflow_executions_usage, workflow_executions_percentage, sca_fargate_usage, sca_fargate_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

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

Expand All

Champ

Type

Description

metadata

object

The object containing document metadata.

usage

[object]

Get usage summary by tag(s).

values

object

Fields in Usage Summary by tag(s). The following values have been deprecated: estimated_indexed_spans_usage, estimated_indexed_spans_percentage, estimated_ingested_spans_usage, estimated_ingested_spans_percentage.

{
  "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",
        "code_security_host_percentage": "number",
        "code_security_host_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_fargate_task_percentage": "number",
        "cws_fargate_task_usage": "number",
        "cws_hosts_percentage": "number",
        "cws_hosts_usage": "number",
        "data_jobs_monitoring_usage": "number",
        "data_stream_monitoring_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_spans_percentage": "number",
        "estimated_indexed_spans_usage": "number",
        "estimated_ingested_spans_percentage": "number",
        "estimated_ingested_spans_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",
        "llm_observability_percentage": "number",
        "llm_observability_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",
        "network_device_wireless_percentage": "number",
        "network_device_wireless_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",
        "product_analytics_session_percentage": "number",
        "product_analytics_session_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",
        "published_app_percentage": "number",
        "published_app_usage": "number",
        "rum_browser_mobile_sessions_percentage": "number",
        "rum_browser_mobile_sessions_usage": "number",
        "rum_ingested_percentage": "number",
        "rum_ingested_usage": "number",
        "rum_investigate_percentage": "number",
        "rum_investigate_usage": "number",
        "rum_replay_sessions_percentage": "number",
        "rum_replay_sessions_usage": "number",
        "rum_session_replay_add_on_percentage": "number",
        "rum_session_replay_add_on_usage": "number",
        "sca_fargate_percentage": "number",
        "sca_fargate_usage": "number",
        "sds_scanned_bytes_percentage": "number",
        "sds_scanned_bytes_usage": "number",
        "serverless_apps_percentage": "number",
        "serverless_apps_usage": "number",
        "siem_analyzed_logs_add_on_percentage": "number",
        "siem_analyzed_logs_add_on_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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetMonthlyUsageAttributionOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;
use datadog_api_client::datadogV1::model::MonthlyUsageAttributionSupportedMetrics;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_monthly_usage_attribution(
            DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            MonthlyUsageAttributionSupportedMetrics::INFRA_HOST_USAGE,
            GetMonthlyUsageAttributionOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v2 (latest)

GET https://api.ap1.datadoghq.com/api/v2/cost_by_tag/active_billing_dimensionshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

Réponse

Active billing dimensions response.

Expand All

Champ

Type

Description

data

object

Active billing dimensions data.

{
  "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.ap2.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()
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.comap2.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"
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.comap2.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()
	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.comap2.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();
    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.comap2.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
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api.get_active_billing_dimensions().await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

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

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

const configuration = client.createConfiguration();
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.comap2.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

v1 (latest)

GET https://api.ap1.datadoghq.com/api/v1/usage/billable-summaryhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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.

include_connected_accounts

boolean

Boolean to specify whether to include accounts connected to the current account as partner customers in the Datadog partner network program. Defaults to false.

Réponse

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.

usage

object

Response with aggregated usage types.

{
  "usage": [
    {
      "account_name": "string",
      "account_public_id": "string",
      "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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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_trace_search_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "application_security_fargate_average": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "application_security_host_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "application_security_host_top99p": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "ci_pipeline_indexed_spans_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "ci_pipeline_maximum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "ci_pipeline_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "ci_test_indexed_spans_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "ci_testing_maximum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "ci_testing_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "cloud_cost_management_average": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "cloud_cost_management_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "cspm_container_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "cspm_host_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "cspm_host_top99p": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "custom_event_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "cws_container_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "cws_host_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "cws_host_top99p": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "dbm_host_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "dbm_host_top99p": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "dbm_normalized_queries_average": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "dbm_normalized_queries_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "fargate_container_apm_and_profiler_average": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "fargate_container_apm_and_profiler_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "fargate_container_average": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "fargate_container_profiler_average": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "fargate_container_profiler_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "fargate_container_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "incident_management_maximum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "incident_management_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "infra_and_apm_host_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "infra_and_apm_host_top99p": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "infra_container_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "infra_host_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "infra_host_top99p": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "ingested_spans_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "ingested_timeseries_average": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "ingested_timeseries_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "iot_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "iot_top99p": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "lambda_function_average": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "lambda_function_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_forwarding_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_15day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_180day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_1day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_30day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_360day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_3day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_45day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_60day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_7day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_90day_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_custom_retention_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_indexed_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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"
        },
        "logs_ingested_sum": {
          "account_billable_usage": "integer",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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",
          "account_committed_usage": "integer",
          "account_on_demand_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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageBillableSummaryOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_billable_summary(GetUsageBillableSummaryOptionalParams::default())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v2 (latest)

GET https://api.ap1.datadoghq.com/api/v2/usage/historical_costhttps://api.ap2.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 all of the following permissions:

usage_read

billing_read

OAuth apps require the usage_read, billing_read authorization scope to access this endpoint.

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.

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.

end_month

string

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

include_connected_accounts

boolean

Boolean to specify whether to include accounts connected to the current account as partner customers in the Datadog partner network program. Defaults to false.

Réponse

Chargeback Summary response.

Expand All

Champ

Type

Description

data

[object]

Response containing Chargeback Summary.

{
  "data": [
    {
      "attributes": {
        "account_name": "string",
        "account_public_id": "string",
        "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.ap2.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(
        start_month=(datetime.now() + relativedelta(months=-2)),
        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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetHistoricalCostByOrgOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_historical_cost_by_org(
            DateTime::parse_from_rfc3339("2021-09-11T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetHistoricalCostByOrgOptionalParams::default().view("sub-org".to_string()),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

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

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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get Monthly Cost Attribution

v2 (latest)

GET https://api.ap1.datadoghq.com/api/v2/cost_by_tag/monthly_cost_attributionhttps://api.ap2.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 is not available in the Government (US1-FED) site.

This endpoint requires all of the following permissions:

usage_read

billing_read

OAuth apps require the usage_read, billing_read authorization scope to access this endpoint.

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

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

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

Expand All

Champ

Type

Description

data

[object]

Response containing cost attribution.

meta

object

The object containing document metadata.

{
  "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 fields="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.ap2.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=${start_month}&fields=${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()
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.comap2.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"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
opts = {
  end_month: (Time.now + -3 * 86400),
}
p api_instance.get_monthly_cost_attribution((Time.now + -5 * 86400), "infra_host_total_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.comap2.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()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetMonthlyCostAttribution(ctx, time.Now().AddDate(0, 0, -5), "infra_host_total_cost", *datadogV2.NewGetMonthlyCostAttributionOptionalParameters().WithEndMonth(time.Now().AddDate(0, 0, -3)))

	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.comap2.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.api.UsageMeteringApi.GetMonthlyCostAttributionOptionalParameters;
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();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      MonthlyCostAttributionResponse result =
          apiInstance.getMonthlyCostAttribution(
              OffsetDateTime.now().plusDays(-5),
              "infra_host_total_cost",
              new GetMonthlyCostAttributionOptionalParameters()
                  .endMonth(OffsetDateTime.now().plusDays(-3)));
      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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetMonthlyCostAttributionOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_monthly_cost_attribution(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            "infra_host_total_cost".to_string(),
            GetMonthlyCostAttributionOptionalParams::default().end_month(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

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

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

const configuration = client.createConfiguration();
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.comap2.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

v2 (latest)

GET https://api.ap1.datadoghq.com/api/v2/usage/estimated_costhttps://api.ap2.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 all of the following permissions:

usage_read

billing_read

OAuth apps require the usage_read, billing_read authorization scope to access this endpoint.

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.

include_connected_accounts

boolean

Boolean to specify whether to include accounts connected to the current account as partner customers in the Datadog partner network program. Defaults to false.

Réponse

Chargeback Summary response.

Expand All

Champ

Type

Description

data

[object]

Response containing Chargeback Summary.

{
  "data": [
    {
      "attributes": {
        "account_name": "string",
        "account_public_id": "string",
        "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetEstimatedCostByOrgOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_estimated_cost_by_org(GetEstimatedCostByOrgOptionalParams::default())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (latest)

GET https://api.ap1.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

usage

[object]

Number of hourly recorded custom metrics for a given organization.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageTopAvgMetricsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_top_avg_metrics(
            GetUsageTopAvgMetricsOptionalParams::default().day(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v2 (latest)

GET https://api.ap1.datadoghq.com/api/v2/usage/projected_costhttps://api.ap2.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 all of the following permissions:

usage_read

billing_read

OAuth apps require the usage_read, billing_read authorization scope to access this endpoint.

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.

include_connected_accounts

boolean

Boolean to specify whether to include accounts connected to the current account as partner customers in the Datadog partner network program. Defaults to false.

Réponse

Projected Cost response.

Expand All

Champ

Type

Description

data

[object]

Response containing Projected Cost.

{
  "data": [
    {
      "attributes": {
        "account_name": "string",
        "account_public_id": "string",
        "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetProjectedCostOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_projected_cost(GetProjectedCostOptionalParams::default().view("sub-org".to_string()))
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get usage across your account

v1 (latest)

GET https://api.ap1.datadoghq.com/api/v1/usage/summaryhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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.

include_connected_accounts

boolean

Boolean to specify whether to include accounts connected to the current account as partner customers in the Datadog partner network program. Defaults to false.

Réponse

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 (To be deprecated on October 1st, 2024).

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

The average total count for Fargate Container Profiler 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

DEPRECATED: Shows the sum of all browser lite sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

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 (To be deprecated on October 1st, 2024).

browser_rum_units_agg_sum

int64

DEPRECATED: Shows the sum of all browser RUM units over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

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.

code_analysis_sa_committers_hwm_sum

int64

Shows the high-water mark of all Static Analysis committers over all hours in the current month for all organizations.

code_analysis_sca_committers_hwm_sum

int64

Shows the high-water mark of all static Software Composition Analysis committers over all hours in the current month for all organizations.

code_security_host_top99p_sum

int64

Shows the 99th percentile of all Code Security hosts 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 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_container_avg_sum

int64

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

cws_fargate_task_avg_sum

int64

Shows the average of all distinct Cloud Workload Security Fargate tasks 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.

data_jobs_monitoring_host_hr_agg_sum

int64

Shows the sum of Data Jobs Monitoring hosts over all hours in the current months 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.

eph_infra_host_agent_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts with the Datadog Agent over all hours in the current month for all organizations.

eph_infra_host_alibaba_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts on Alibaba over all hours in the current month for all organizations.

eph_infra_host_aws_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts on AWS over all hours in the current month for all organizations.

eph_infra_host_azure_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts on Azure over all hours in the current month for all organizations.

eph_infra_host_ent_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts for Enterprise over all hours in the current month for all organizations.

eph_infra_host_gcp_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts on GCP over all hours in the current month for all organizations.

eph_infra_host_heroku_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts on Heroku over all hours in the current month for all organizations.

eph_infra_host_only_aas_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts with only Azure App Services over all hours in the current month for all organizations.

eph_infra_host_only_vsphere_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts with only vSphere over all hours in the current month for all organizations.

eph_infra_host_opentelemetry_agg_sum

int64

Shows the sum of all ephemeral hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

eph_infra_host_opentelemetry_apm_agg_sum

int64

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

eph_infra_host_pro_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts for Pro over all hours in the current month for all organizations.

eph_infra_host_proplus_agg_sum

int64

Shows the sum of all ephemeral infrastructure hosts for Pro Plus over all hours in the current month for all organizations.

error_tracking_apm_error_events_agg_sum

int64

Shows the sum of all Error Tracking APM error events over all hours in the current month for all organizations.

error_tracking_error_events_agg_sum

int64

Shows the sum of all Error Tracking error events over all hours 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.

error_tracking_rum_error_events_agg_sum

int64

Shows the sum of all Error Tracking RUM error events over all hours in the current month for all organizations.

event_management_correlation_agg_sum

int64

Shows the sum of all Event Management correlations over all hours in the current month for all organizations.

event_management_correlation_correlated_events_agg_sum

int64

Shows the sum of all Event Management correlated events over all hours in the current month for all organizations.

event_management_correlation_correlated_related_events_agg_sum

int64

Shows the sum of all Event Management correlated related events over all hours in the current month for all organizations.

fargate_container_profiler_profiling_fargate_avg_sum

int64

The average number of Profiling Fargate tasks over all hours in the current month for all organizations.

fargate_container_profiler_profiling_fargate_eks_avg_sum

int64

The average number of Profiling Fargate Elastic Kubernetes Service tasks over all hours in the current month 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_xlarge_avg_sum

int64

Shows the average number of Flex Logs Compute Extra Large 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_logs_starter_avg_sum

int64

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

flex_logs_starter_storage_index_avg_sum

int64

Shows the average number of Flex Logs Starter Storage Index Instances over all hours in the current months for all organizations.

flex_logs_starter_storage_retention_adjustment_avg_sum

int64

Shows the average number of Flex Logs Starter Storage Retention Adjustment 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 high-water marks of incident management monthly active users in the current month for all organizations.

indexed_events_count_agg_sum

int64

DEPRECATED: Shows the sum of all log events indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

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

live_indexed_events_agg_sum

int64

DEPRECATED: Shows the sum of all live logs indexed over all hours in the current month for all organization (To be deprecated on October 1st, 2024).

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).

llm_observability_agg_sum

int64

Sum of all LLM observability sessions for all hours in the current month for all organizations.

llm_observability_min_spend_agg_sum

int64

Minimum spend for LLM observability sessions for all hours in the current month for all organizations.

logs_by_retention

object

Object containing logs usage data broken down by retention period.

mobile_rum_lite_session_count_agg_sum

int64

DEPRECATED: Shows the sum of all mobile lite sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

mobile_rum_session_count_agg_sum

int64

DEPRECATED: Shows the sum of all mobile RUM sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

mobile_rum_session_count_android_agg_sum

int64

DEPRECATED: Shows the sum of all mobile RUM sessions on Android over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

mobile_rum_session_count_flutter_agg_sum

int64

DEPRECATED: Shows the sum of all mobile RUM sessions on Flutter over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

mobile_rum_session_count_ios_agg_sum

int64

DEPRECATED: Shows the sum of all mobile RUM sessions on iOS over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

mobile_rum_session_count_reactnative_agg_sum

int64

DEPRECATED: Shows the sum of all mobile RUM sessions on React Native over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

mobile_rum_session_count_roku_agg_sum

int64

DEPRECATED: Shows the sum of all mobile RUM sessions on Roku over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

mobile_rum_units_agg_sum

int64

DEPRECATED: Shows the sum of all mobile RUM units over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

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

DEPRECATED: Shows the sum of all Network flows indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

network_device_wireless_top99p_sum

int64

Shows the 99th percentile of all Network Device Monitoring wireless devices over all hours in the current month for all organizations.

npm_host_top99p_sum

int64

Shows the 99th percentile of all distinct Cloud Network Monitoring hosts (formerly known as Network 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.

oci_host_agg_sum

int64

Shows the sum of Oracle Cloud Infrastructure hosts over all hours in the current months for all organizations

oci_host_top99p_sum

int64

Shows the 99th percentile of Oracle Cloud Infrastructure hosts over all hours in the current months 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.

product_analytics_agg_sum

int64

Sum of all product analytics sessions for 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.

published_app_hwm_sum

int64

Shows the high-water mark of all published applications over all hours in the current month for all organizations.

rehydrated_indexed_events_agg_sum

int64

DEPRECATED: Shows the sum of all rehydrated logs indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

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 (To be deprecated on October 1st, 2024).

rum_browser_legacy_session_count_agg_sum

int64

Shows the sum of all browser RUM legacy sessions over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_browser_lite_session_count_agg_sum

int64

Shows the sum of all browser RUM lite sessions over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_browser_replay_session_count_agg_sum

int64

Shows the sum of all browser RUM Session Replay counts over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_indexed_sessions_agg_sum

int64

Sum of all RUM indexed sessions for all hours in the current month for all organizations.

rum_ingested_sessions_agg_sum

int64

Sum of all RUM ingested sessions for all hours in the current month for all organizations.

rum_lite_session_count_agg_sum

int64

Shows the sum of all RUM lite sessions (browser and mobile) over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_legacy_session_count_android_agg_sum

int64

Shows the sum of all mobile RUM legacy sessions on Android over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_legacy_session_count_flutter_agg_sum

int64

Shows the sum of all mobile RUM legacy sessions on Flutter over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_legacy_session_count_ios_agg_sum

int64

Shows the sum of all mobile RUM legacy sessions on iOS over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_legacy_session_count_reactnative_agg_sum

int64

Shows the sum of all mobile RUM legacy sessions on React Native over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_legacy_session_count_roku_agg_sum

int64

Shows the sum of all mobile RUM legacy sessions on Roku over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_lite_session_count_android_agg_sum

int64

Shows the sum of all mobile RUM lite sessions on Android over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_lite_session_count_flutter_agg_sum

int64

Shows the sum of all mobile RUM lite sessions on Flutter over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_lite_session_count_ios_agg_sum

int64

Shows the sum of all mobile RUM lite sessions on iOS over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_lite_session_count_kotlinmultiplatform_agg_sum

int64

Shows the sum of all mobile RUM lite sessions on Kotlin Multiplatform over all hours within the current month for all organizations.

rum_mobile_lite_session_count_reactnative_agg_sum

int64

Shows the sum of all mobile RUM lite sessions on React Native over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_lite_session_count_roku_agg_sum

int64

Shows the sum of all mobile RUM lite sessions on Roku over all hours within the current month for all organizations (To be introduced on October 1st, 2024).

rum_mobile_lite_session_count_unity_agg_sum

int64

Shows the sum of all mobile RUM lite sessions on Unity over all hours within the current month for all organizations.

rum_mobile_replay_session_count_android_agg_sum

int64

Shows the sum of all mobile RUM replay sessions on Android over all hours within the current month for all organizations.

rum_mobile_replay_session_count_ios_agg_sum

int64

Shows the sum of all mobile RUM replay sessions on iOS over all hours within the current month for all organizations.

rum_mobile_replay_session_count_kotlinmultiplatform_agg_sum

int64

Shows the sum of all mobile RUM replay sessions on Kotlin Multiplatform over all hours within the current month for all organizations.

rum_mobile_replay_session_count_reactnative_agg_sum

int64

Shows the sum of all mobile RUM replay sessions on React Native over all hours within the current month for all organizations.

rum_replay_session_count_agg_sum

int64

Shows the sum of all RUM Session Replay counts over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

rum_session_count_agg_sum

int64

DEPRECATED: Shows the sum of all browser RUM lite sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

rum_session_replay_add_on_agg_sum

int64

Sum of all RUM session replay add-on sessions for 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

DEPRECATED: Shows the sum of all browser and mobile RUM units over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

sca_fargate_count_avg_sum

int64

Shows the average of all Software Composition Analysis Fargate tasks over all hours in the current months for all organizations.

sca_fargate_count_hwm_sum

int64

Shows the sum of the high-water marks of all Software Composition Analysis Fargate tasks over all hours in the current months 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_apm_apm_azure_appservice_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring for Azure App Service instances in the current month for all organizations.

serverless_apps_apm_apm_azure_azurefunction_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring for Azure Function instances in the current month for all organizations.

serverless_apps_apm_apm_azure_containerapp_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring for Azure Container App instances in the current month for all organizations.

serverless_apps_apm_apm_fargate_ecs_tasks_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring for Fargate Elastic Container Service tasks in the current month for all organizations.

serverless_apps_apm_apm_gcp_cloudfunction_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Function instances in the current month for all organizations.

serverless_apps_apm_apm_gcp_cloudrun_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Run instances in the current month for all organizations.

serverless_apps_apm_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring in the current month for all organizations.

serverless_apps_apm_excl_fargate_apm_azure_appservice_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure App Service instances in the current month for all organizations.

serverless_apps_apm_excl_fargate_apm_azure_azurefunction_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Function instances in the current month for all organizations.

serverless_apps_apm_excl_fargate_apm_azure_containerapp_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Container App instances in the current month for all organizations.

serverless_apps_apm_excl_fargate_apm_gcp_cloudfunction_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Function instances in the current month for all organizations.

serverless_apps_apm_excl_fargate_apm_gcp_cloudrun_instances_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Run instances in the current month for all organizations.

serverless_apps_apm_excl_fargate_avg_sum

int64

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate in the current month for all organizations.

serverless_apps_azure_container_app_instances_avg_sum

int64

Sum of the average number of Serverless Apps for Azure Container App instances 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_azure_function_app_instances_avg_sum

int64

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

serverless_apps_azure_web_app_instances_avg_sum

int64

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

serverless_apps_ecs_avg_sum

int64

Sum of the average number of Serverless Apps for Elastic Container Service in the current month for all organizations.

serverless_apps_eks_avg_sum

int64

Sum of the average number of Serverless Apps for Elastic Kubernetes Service in the current month for all organizations.

serverless_apps_excl_fargate_avg_sum

int64

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

serverless_apps_excl_fargate_azure_container_app_instances_avg_sum

int64

Sum of the average number of Serverless Apps excluding Fargate for Azure Container App instances in the current month for all organizations.

serverless_apps_excl_fargate_azure_function_app_instances_avg_sum

int64

Sum of the average number of Serverless Apps excluding Fargate for Azure Function App instances in the current month for all organizations.

serverless_apps_excl_fargate_azure_web_app_instances_avg_sum

int64

Sum of the average number of Serverless Apps excluding Fargate for Azure Web App instances in the current month for all organizations.

serverless_apps_excl_fargate_google_cloud_functions_instances_avg_sum

int64

Sum of the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Functions instances in the current month for all organizations.

serverless_apps_excl_fargate_google_cloud_run_instances_avg_sum

int64

Sum of the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Run instances in the current month for all organizations.

serverless_apps_google_cloud_functions_instances_avg_sum

int64

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

serverless_apps_google_cloud_run_instances_avg_sum

int64

Sum of the average number of Serverless Apps for Google Cloud Platform Cloud Run instances 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.

siem_analyzed_logs_add_on_count_agg_sum

int64

Shows the sum of all log events analyzed by Cloud SIEM over all hours 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.

orgs

[object]

Organizations associated with a user.

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",
  "code_analysis_sa_committers_hwm_sum": "integer",
  "code_analysis_sca_committers_hwm_sum": "integer",
  "code_security_host_top99p_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_container_avg_sum": "integer",
  "cws_fargate_task_avg_sum": "integer",
  "cws_host_top99p_sum": "integer",
  "data_jobs_monitoring_host_hr_agg_sum": "integer",
  "dbm_host_top99p_sum": "integer",
  "dbm_queries_avg_sum": "integer",
  "end_date": "2019-09-19T10:00:00.000Z",
  "eph_infra_host_agent_agg_sum": "integer",
  "eph_infra_host_alibaba_agg_sum": "integer",
  "eph_infra_host_aws_agg_sum": "integer",
  "eph_infra_host_azure_agg_sum": "integer",
  "eph_infra_host_ent_agg_sum": "integer",
  "eph_infra_host_gcp_agg_sum": "integer",
  "eph_infra_host_heroku_agg_sum": "integer",
  "eph_infra_host_only_aas_agg_sum": "integer",
  "eph_infra_host_only_vsphere_agg_sum": "integer",
  "eph_infra_host_opentelemetry_agg_sum": "integer",
  "eph_infra_host_opentelemetry_apm_agg_sum": "integer",
  "eph_infra_host_pro_agg_sum": "integer",
  "eph_infra_host_proplus_agg_sum": "integer",
  "error_tracking_apm_error_events_agg_sum": "integer",
  "error_tracking_error_events_agg_sum": "integer",
  "error_tracking_events_agg_sum": "integer",
  "error_tracking_rum_error_events_agg_sum": "integer",
  "event_management_correlation_agg_sum": "integer",
  "event_management_correlation_correlated_events_agg_sum": "integer",
  "event_management_correlation_correlated_related_events_agg_sum": "integer",
  "fargate_container_profiler_profiling_fargate_avg_sum": "integer",
  "fargate_container_profiler_profiling_fargate_eks_avg_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_xlarge_avg_sum": "integer",
  "flex_logs_compute_xsmall_avg_sum": "integer",
  "flex_logs_starter_avg_sum": "integer",
  "flex_logs_starter_storage_index_avg_sum": "integer",
  "flex_logs_starter_storage_retention_adjustment_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",
  "llm_observability_agg_sum": "integer",
  "llm_observability_min_spend_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",
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          "serverless_apps_apm_excl_fargate_apm_azure_containerapp_instances_avg": "integer",
          "serverless_apps_apm_excl_fargate_apm_gcp_cloudfunction_instances_avg": "integer",
          "serverless_apps_apm_excl_fargate_apm_gcp_cloudrun_instances_avg": "integer",
          "serverless_apps_apm_excl_fargate_avg": "integer",
          "serverless_apps_azure_container_app_instances_avg": "integer",
          "serverless_apps_azure_count_avg": "integer",
          "serverless_apps_azure_function_app_instances_avg": "integer",
          "serverless_apps_azure_web_app_instances_avg": "integer",
          "serverless_apps_ecs_avg": "integer",
          "serverless_apps_eks_avg": "integer",
          "serverless_apps_excl_fargate_avg": "integer",
          "serverless_apps_excl_fargate_azure_container_app_instances_avg": "integer",
          "serverless_apps_excl_fargate_azure_function_app_instances_avg": "integer",
          "serverless_apps_excl_fargate_azure_web_app_instances_avg": "integer",
          "serverless_apps_excl_fargate_google_cloud_functions_instances_avg": "integer",
          "serverless_apps_excl_fargate_google_cloud_run_instances_avg": "integer",
          "serverless_apps_google_cloud_functions_instances_avg": "integer",
          "serverless_apps_google_cloud_run_instances_avg": "integer",
          "serverless_apps_google_count_avg": "integer",
          "serverless_apps_total_count_avg": "integer",
          "siem_analyzed_logs_add_on_count_sum": "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"
        }
      ],
      "product_analytics_sum": "integer",
      "profiling_aas_count_top99p": "integer",
      "profiling_host_top99p": "integer",
      "published_app_hwm": "integer",
      "rum_browser_and_mobile_session_count": "integer",
      "rum_browser_legacy_session_count_sum": "integer",
      "rum_browser_lite_session_count_sum": "integer",
      "rum_browser_replay_session_count_sum": "integer",
      "rum_indexed_sessions_sum": "integer",
      "rum_ingested_sessions_sum": "integer",
      "rum_lite_session_count_sum": "integer",
      "rum_mobile_legacy_session_count_android_sum": "integer",
      "rum_mobile_legacy_session_count_flutter_sum": "integer",
      "rum_mobile_legacy_session_count_ios_sum": "integer",
      "rum_mobile_legacy_session_count_reactnative_sum": "integer",
      "rum_mobile_legacy_session_count_roku_sum": "integer",
      "rum_mobile_lite_session_count_android_sum": "integer",
      "rum_mobile_lite_session_count_flutter_sum": "integer",
      "rum_mobile_lite_session_count_ios_sum": "integer",
      "rum_mobile_lite_session_count_kotlinmultiplatform_sum": "integer",
      "rum_mobile_lite_session_count_reactnative_sum": "integer",
      "rum_mobile_lite_session_count_roku_sum": "integer",
      "rum_mobile_lite_session_count_unity_sum": "integer",
      "rum_mobile_replay_session_count_android_sum": "integer",
      "rum_mobile_replay_session_count_ios_sum": "integer",
      "rum_mobile_replay_session_count_kotlinmultiplatform_sum": "integer",
      "rum_mobile_replay_session_count_reactnative_sum": "integer",
      "rum_replay_session_count_sum": "integer",
      "rum_session_count_sum": "integer",
      "rum_session_replay_add_on_sum": "integer",
      "rum_total_session_count_sum": "integer",
      "rum_units_sum": "integer",
      "sca_fargate_count_avg": "integer",
      "sca_fargate_count_hwm": "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_apm_apm_azure_appservice_instances_avg": "integer",
      "serverless_apps_apm_apm_azure_azurefunction_instances_avg": "integer",
      "serverless_apps_apm_apm_azure_containerapp_instances_avg": "integer",
      "serverless_apps_apm_apm_fargate_ecs_tasks_avg": "integer",
      "serverless_apps_apm_apm_gcp_cloudfunction_instances_avg": "integer",
      "serverless_apps_apm_apm_gcp_cloudrun_instances_avg": "integer",
      "serverless_apps_apm_avg": "integer",
      "serverless_apps_apm_excl_fargate_apm_azure_appservice_instances_avg": "integer",
      "serverless_apps_apm_excl_fargate_apm_azure_azurefunction_instances_avg": "integer",
      "serverless_apps_apm_excl_fargate_apm_azure_containerapp_instances_avg": "integer",
      "serverless_apps_apm_excl_fargate_apm_gcp_cloudfunction_instances_avg": "integer",
      "serverless_apps_apm_excl_fargate_apm_gcp_cloudrun_instances_avg": "integer",
      "serverless_apps_apm_excl_fargate_avg": "integer",
      "serverless_apps_azure_container_app_instances_avg": "integer",
      "serverless_apps_azure_count_avg": "integer",
      "serverless_apps_azure_function_app_instances_avg": "integer",
      "serverless_apps_azure_web_app_instances_avg": "integer",
      "serverless_apps_ecs_avg": "integer",
      "serverless_apps_eks_avg": "integer",
      "serverless_apps_excl_fargate_avg": "integer",
      "serverless_apps_excl_fargate_azure_container_app_instances_avg": "integer",
      "serverless_apps_excl_fargate_azure_function_app_instances_avg": "integer",
      "serverless_apps_excl_fargate_azure_web_app_instances_avg": "integer",
      "serverless_apps_excl_fargate_google_cloud_functions_instances_avg": "integer",
      "serverless_apps_excl_fargate_google_cloud_run_instances_avg": "integer",
      "serverless_apps_google_cloud_functions_instances_avg": "integer",
      "serverless_apps_google_cloud_run_instances_avg": "integer",
      "serverless_apps_google_count_avg": "integer",
      "serverless_apps_total_count_avg": "integer",
      "siem_analyzed_logs_add_on_count_sum": "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageSummaryOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_summary(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageSummaryOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (latest)

GET https://api.ap1.datadoghq.com/api/v1/usage/logs_by_indexhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageLogsByIndexOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_logs_by_index(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageLogsByIndexOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/logs-by-retentionhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageLogsByRetentionOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_logs_by_retention(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageLogsByRetentionOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/hostshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

Host usage response.

Expand All

Champ

Type

Description

usage

[object]

An array of objects related to host usage.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageHostsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_hosts(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageHostsOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for logs

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/logshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageLogsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_logs(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageLogsOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/timeserieshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

Response containing hourly usage of timeseries.

Expand All

Champ

Type

Description

usage

[object]

An array of objects regarding hourly usage of timeseries.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageTimeseriesOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_timeseries(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageTimeseriesOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/indexed-spanshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageIndexedSpansOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_indexed_spans(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageIndexedSpansOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/syntheticshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageSyntheticsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_synthetics(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageSyntheticsOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/synthetics_apihttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageSyntheticsAPIOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_synthetics_api(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageSyntheticsAPIOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/synthetics_browserhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageSyntheticsBrowserOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_synthetics_browser(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageSyntheticsBrowserOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for Fargate

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/fargatehttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageFargateOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_fargate(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageFargateOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for Lambda

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/aws_lambdahttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageLambdaOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_lambda(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageLambdaOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/rum_sessionshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageRumSessionsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_rum_sessions(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageRumSessionsOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/network_hostshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageNetworkHostsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_network_hosts(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageNetworkHostsOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/network_flowshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageNetworkFlowsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_network_flows(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageNetworkFlowsOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/analyzed_logshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageAnalyzedLogsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_analyzed_logs(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageAnalyzedLogsOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/snmphttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageSNMPOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_snmp(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageSNMPOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/ingested-spanshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetIngestedSpansOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_ingested_spans(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetIngestedSpansOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/incident-managementhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetIncidentManagementOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_incident_management(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetIncidentManagementOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage for IoT

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/iothttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

Response containing the IoT usage for each hour for a given organization.

Expand All

Champ

Type

Description

usage

[object]

Get hourly usage for IoT.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageInternetOfThingsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_internet_of_things(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageInternetOfThingsOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/cspmhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageCloudSecurityPostureManagementOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_cloud_security_posture_management(
            DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageCloudSecurityPostureManagementOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/cwshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageCWSOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_cws(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageCWSOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/dbmhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageDBMOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_dbm(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageDBMOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/sdshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageSDSOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_sds(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageSDSOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/rumhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageRumUnitsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_rum_units(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageRumUnitsOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/profilinghttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageProfilingOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_profiling(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageProfilingOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/ci-apphttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

CI visibility usage response

Expand All

Champ

Type

Description

usage

[object]

Response containing CI visibility usage.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageCIAppOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_ci_app(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageCIAppOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/online-archivehttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

Online Archive usage response.

Expand All

Champ

Type

Description

usage

[object]

Response containing Online Archive usage.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageOnlineArchiveOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_online_archive(
            DateTime::parse_from_rfc3339("2021-11-11T11:11:11.111000+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageOnlineArchiveOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v2 (deprecated)

GET https://api.ap1.datadoghq.com/api/v2/usage/lambda_traced_invocationshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

Lambda Traced Invocations usage response.

Expand All

Champ

Type

Description

data

[object]

Response containing Lambda Traced Invocations usage.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetUsageLambdaTracedInvocationsOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_lambda_traced_invocations(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageLambdaTracedInvocationsOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v2 (deprecated)

GET https://api.ap1.datadoghq.com/api/v2/usage/application_securityhttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

Application Security Monitoring usage response.

Expand All

Champ

Type

Description

data

[object]

Response containing Application Security Monitoring usage.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetUsageApplicationSecurityMonitoringOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_application_security_monitoring(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageApplicationSecurityMonitoringOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v2 (deprecated)

GET https://api.ap1.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

Observability Pipelines usage response.

Expand All

Champ

Type

Description

data

[object]

Response containing Observability Pipelines usage.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetUsageObservabilityPipelinesOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_observability_pipelines(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageObservabilityPipelinesOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/usage/audit_logshttps://api.ap2.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 permission.

OAuth apps require the usage_read authorization scope to access this endpoint.

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

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.

{
  "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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageAuditLogsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_usage_audit_logs(
            DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetUsageAuditLogsOptionalParams::default().end_hr(
                DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                    .expect("Failed to parse datetime")
                    .with_timezone(&Utc),
            ),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.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

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/daily_custom_reportshttps://api.ap2.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 permission.

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

Response containing available custom reports.

Expand All

Champ

Type

Description

data

[object]

An array of available custom reports.

meta

object

The object containing document metadata.

{
  "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.ap2.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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"

// Get the list of available daily custom reports returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetDailyCustomReportsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_daily_custom_reports(GetDailyCustomReportsOptionalParams::default())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"

Get specified daily custom reports

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/daily_custom_reports/{report_id}https://api.ap2.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 permission.

Arguments

Paramètres du chemin

Nom

Type

Description

report_id [required]

string

Date of the report in the format YYYY-MM-DD.

Réponse

Returns available specified custom reports.

Expand All

Champ

Type

Description

data

object

Response containing date and type for specified custom reports.

meta

object

The object containing document metadata.

{
  "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.ap2.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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"

// Get specified daily custom reports returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_specified_daily_custom_reports("2022-03-20".to_string())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"

Get the list of available monthly custom reports

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/monthly_custom_reportshttps://api.ap2.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 permission.

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

Response containing available custom reports.

Expand All

Champ

Type

Description

data

[object]

An array of available custom reports.

meta

object

The object containing document metadata.

{
  "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.ap2.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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"

// Get the list of available monthly custom reports returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetMonthlyCustomReportsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_monthly_custom_reports(GetMonthlyCustomReportsOptionalParams::default())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"

Get specified monthly custom reports

v1 (deprecated)

GET https://api.ap1.datadoghq.com/api/v1/monthly_custom_reports/{report_id}https://api.ap2.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 permission.

Arguments

Paramètres du chemin

Nom

Type

Description

report_id [required]

string

Date of the report in the format YYYY-MM-DD.

Réponse

Returns available specified custom reports.

Expand All

Champ

Type

Description

data

object

Response containing date and type for specified custom reports.

meta

object

The object containing document metadata.

{
  "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.ap2.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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"

// Get specified monthly custom reports returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_specified_monthly_custom_reports("2021-05-01".to_string())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"

Get cost across multi-org account

v2 (deprecated)

GET https://api.ap1.datadoghq.com/api/v2/usage/cost_by_orghttps://api.ap2.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 all of the following permissions:

usage_read

billing_read

OAuth apps require the usage_read, billing_read authorization scope to access this endpoint.

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

Chargeback Summary response.

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Champ

Type

Description

data

[object]

Response containing Chargeback Summary.

{
  "data": [
    {
      "attributes": {
        "account_name": "string",
        "account_public_id": "string",
        "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.

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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.ap2.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.comap2.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.comap2.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.comap2.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.comap2.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
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetCostByOrgOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = UsageMeteringAPI::with_config(configuration);
    let resp = api
        .get_cost_by_org(
            DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            GetCostByOrgOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

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

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

/**
 * 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.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"