サービスレベル目標

# Curl command
curl -X POST "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com/api/v1/slo" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
-d @- << EOF
{
  "name": "Custom Metric SLO",
  "query": {
    "denominator": "sum:my.custom.metric{*}.as_count()",
    "numerator": "sum:my.custom.metric{type:good}.as_count()"
  },
  "thresholds": [
    {
      "target": 99.9,
      "timeframe": "30d"
    }
  ],
  "type": "metric"
}
EOF



           

package main

import (
    "context"
    "encoding/json"
    "fmt"
    "os"
    datadog "github.com/DataDog/datadog-api-client-go/api/v1/datadog"
)

func main() {
    ctx := datadog.NewDefaultContext(context.Background())

    body := *datadog.NewServiceLevelObjectiveRequest("Custom Metric SLO", []datadog.SLOThreshold{*datadog.NewSLOThreshold(float64(99.9), datadog.SLOTimeframe("7d"))}, datadog.SLOType("metric")) // ServiceLevelObjectiveRequest | Service level objective request object.

    configuration := datadog.NewConfiguration()

    apiClient := datadog.NewAPIClient(configuration)
    resp, r, err := apiClient.ServiceLevelObjectivesApi.CreateSLO(ctx, body)
    if err != nil {
        fmt.Fprintf(os.Stderr, "Error when calling `ServiceLevelObjectivesApi.CreateSLO`: %v\n", err)
        fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
    }
    // response from `CreateSLO`: SLOListResponse
    responseContent, _ := json.MarshalIndent(resp, "", "  ")
    fmt.Fprintf(os.Stdout, "Response from ServiceLevelObjectivesApi.CreateSLO:\n%s\n", responseContent)
}

import { v1 } from "@datadog/datadog-api-client";
import * as fs from "fs";

const configuration = v1.createConfiguration();
const apiInstance = new v1.ServiceLevelObjectivesApi(configuration);

let params: v1.ServiceLevelObjectivesApiCreateSLORequest = {
  // ServiceLevelObjectiveRequest | Service level objective request object.
  body: {
    description: "description_example",
    groups: ["env:prod", "role:mysql"],
    monitorIds: [1],
    name: "Custom Metric SLO",
    query: {
      denominator: "sum:my.custom.metric{*}.as_count()",
      numerator: "sum:my.custom.metric{type:good}.as_count()",
    },
    tags: ["env:prod", "app:core"],
    thresholds: [
      {
        target: 99.9,
        targetDisplay: "99.9",
        timeframe: "30d",
        warning: 90.0,
        warningDisplay: "90.0",
      },
      {
        target: 99.9,
        targetDisplay: "99.9",
        timeframe: "30d",
        warning: 90.0,
        warningDisplay: "90.0",
      },
    ],
    type: "metric",
  },
};

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

import os
from dateutil.parser import parse as dateutil_parser
from datadog_api_client.v1 import ApiClient, ApiException, Configuration
from datadog_api_client.v1.api import service_level_objectives_api
from datadog_api_client.v1.models import *
from pprint import pprint
# See configuration.py for a list of all supported configuration parameters.
configuration = Configuration()

# Enter a context with an instance of the API client
with ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = service_level_objectives_api.ServiceLevelObjectivesApi(api_client)
    body = ServiceLevelObjectiveRequest(
        description="description_example",
        groups=["env:prod","role:mysql"],
        monitor_ids=[
            1,
        ],
        name="Custom Metric SLO",
        query=ServiceLevelObjectiveQuery(
            denominator="sum:my.custom.metric{*}.as_count()",
            numerator="sum:my.custom.metric{type:good}.as_count()",
        ),
        tags=["env:prod","app:core"],
        thresholds=[
            SLOThreshold(
                target=99.9,
                target_display="99.9",
                timeframe=SLOTimeframe("30d"),
                warning=90.0,
                warning_display="90.0",
            ),
        ],
        type=SLOType("metric"),
    )  # ServiceLevelObjectiveRequest | Service level objective request object.

    # example passing only required values which don't have defaults set
    try:
        # Create an SLO object
        api_response = api_instance.create_slo(body)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling ServiceLevelObjectivesApi->create_slo: %s\n" % e)

require 'datadog_api_client'
api_instance = DatadogAPIClient::V1::ServiceLevelObjectivesAPI.new
body = DatadogAPIClient::V1::ServiceLevelObjectiveRequest.new({name: 'Custom Metric SLO', thresholds: [DatadogAPIClient::V1::SLOThreshold.new({target: 99.9, timeframe: DatadogAPIClient::V1::SLOTimeframe::SEVEN_DAYS})], type: DatadogAPIClient::V1::SLOType::METRIC}) # ServiceLevelObjectiveRequest | Service level objective request object.

begin
  # Create an SLO object
  result = api_instance.create_slo(body)
  p result
rescue DatadogAPIClient::V1::APIError => e
  puts "Error when calling ServiceLevelObjectivesAPI->create_slo: #{e}"
end

import java.util.*;
import com.datadog.api.v1.client.ApiClient;
import com.datadog.api.v1.client.ApiException;
import com.datadog.api.v1.client.Configuration;
import com.datadog.api.v1.client.model.*;
import com.datadog.api.v1.client.api.ServiceLevelObjectivesApi;

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

        ServiceLevelObjectivesApi apiInstance = new ServiceLevelObjectivesApi(defaultClient);
        ServiceLevelObjectiveRequest body = new ServiceLevelObjectiveRequest(); // ServiceLevelObjectiveRequest | Service level objective request object.
        try {
            SLOListResponse result = apiInstance.createSLO(body);
            System.out.println(result);
        } catch (ApiException e) {
            System.err.println("Exception when calling ServiceLevelObjectivesApi#createSLO");
            System.err.println("Status code: " + e.getCode());
            System.err.println("Reason: " + e.getResponseBody());
            System.err.println("Response headers: " + e.getResponseHeaders());
            e.printStackTrace();
        }
    }
}

from datadog import initialize, api

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

initialize(**options)

# Create a new SLO
thresholds = [
  {"timeframe": "7d", "target": 95},
  {"timeframe": "30d", "target": 95, "warning": 97},
]
tags = ["app:webserver", "frontend"]
api.ServiceLevelObjective.create(
    type="metric",
    name="Custom Metric SLO",
    description="SLO tracking custom service SLO",
    query={
        "numerator": "sum:my.custom.metric{type:good}.as_count()",
        "denominator": "sum:my.custom.metric{*}.as_count()"
    },
    tags=tags,
    thresholds=thresholds
)

require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

# Create a new SLO
thresholds = [
  { timeframe: '7d', target: 95 },
  { timeframe: '30d', target: 95, warning: 97 }
]
tags = ['app:webserver', 'frontend']
dog.create_service_level_objective(
  type: 'metric',
  name: 'Custom Metric SLO',
  description: 'SLO tracking custom service SLO',
  numerator: 'sum:my.custom.metric{type:good}.as_count()',
  denominator: 'sum:my.custom.metric{*}.as_count()',
  tags: tags,
  thresholds: thresholds
)

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



           

package main

import (
    "context"
    "encoding/json"
    "fmt"
    "os"
    datadog "github.com/DataDog/datadog-api-client-go/api/v1/datadog"
)

func main() {
    ctx := datadog.NewDefaultContext(context.Background())

    ids := "id1, id2, id3" // string | A comma separated list of the IDs of the service level objectives objects. (optional)
    query := "monitor" // string | The query string to filter results based on SLO names. (optional)
    tagsQuery := "env:prod" // string | The query string to filter results based on a single SLO tag. (optional)
    metricsQuery := "aws.elb.request_count" // string | The query string to filter results based on SLO numerator and denominator. (optional)
    limit := int64(789) // int64 | The number of SLOs to return in the response. (optional)
    offset := int64(789) // int64 | The specific offset to use as the beginning of the returned response. (optional)
    optionalParams := datadog.ListSLOsOptionalParameters{
        Ids: &ids,
        Query: &query,
        TagsQuery: &tagsQuery,
        MetricsQuery: &metricsQuery,
        Limit: &limit,
        Offset: &offset,
    }

    configuration := datadog.NewConfiguration()

    apiClient := datadog.NewAPIClient(configuration)
    resp, r, err := apiClient.ServiceLevelObjectivesApi.ListSLOs(ctx, optionalParams)
    if err != nil {
        fmt.Fprintf(os.Stderr, "Error when calling `ServiceLevelObjectivesApi.ListSLOs`: %v\n", err)
        fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
    }
    // response from `ListSLOs`: SLOListResponse
    responseContent, _ := json.MarshalIndent(resp, "", "  ")
    fmt.Fprintf(os.Stdout, "Response from ServiceLevelObjectivesApi.ListSLOs:\n%s\n", responseContent)
}

import { v1 } from "@datadog/datadog-api-client";
import * as fs from "fs";

const configuration = v1.createConfiguration();
const apiInstance = new v1.ServiceLevelObjectivesApi(configuration);

let params: v1.ServiceLevelObjectivesApiListSLOsRequest = {
  // string | A comma separated list of the IDs of the service level objectives objects. (optional)
  ids: "id1, id2, id3",
  // string | The query string to filter results based on SLO names. (optional)
  query: "monitor",
  // string | The query string to filter results based on a single SLO tag. (optional)
  tagsQuery: "env:prod",
  // string | The query string to filter results based on SLO numerator and denominator. (optional)
  metricsQuery: "aws.elb.request_count",
  // number | The number of SLOs to return in the response. (optional)
  limit: 1,
  // number | The specific offset to use as the beginning of the returned response. (optional)
  offset: 1,
};

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

import os
from dateutil.parser import parse as dateutil_parser
from datadog_api_client.v1 import ApiClient, ApiException, Configuration
from datadog_api_client.v1.api import service_level_objectives_api
from datadog_api_client.v1.models import *
from pprint import pprint
# See configuration.py for a list of all supported configuration parameters.
configuration = Configuration()

# Enter a context with an instance of the API client
with ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = service_level_objectives_api.ServiceLevelObjectivesApi(api_client)
    ids = "id1, id2, id3"  # str | A comma separated list of the IDs of the service level objectives objects. (optional)
    query = "monitor"  # str | The query string to filter results based on SLO names. (optional)
    tags_query = "env:prod"  # str | The query string to filter results based on a single SLO tag. (optional)
    metrics_query = "aws.elb.request_count"  # str | The query string to filter results based on SLO numerator and denominator. (optional)
    limit = 1  # int | The number of SLOs to return in the response. (optional)
    offset = 1  # int | The specific offset to use as the beginning of the returned response. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Get all SLOs
        api_response = api_instance.list_slos(ids=ids, query=query, tags_query=tags_query, metrics_query=metrics_query, limit=limit, offset=offset)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling ServiceLevelObjectivesApi->list_slos: %s\n" % e)

require 'datadog_api_client'
api_instance = DatadogAPIClient::V1::ServiceLevelObjectivesAPI.new
opts = {
  ids: 'id1, id2, id3', # String | A comma separated list of the IDs of the service level objectives objects.
  query: 'monitor', # String | The query string to filter results based on SLO names.
  tags_query: 'env:prod', # String | The query string to filter results based on a single SLO tag.
  metrics_query: 'aws.elb.request_count', # String | The query string to filter results based on SLO numerator and denominator.
  limit: 789, # Integer | The number of SLOs to return in the response.
  offset: 789 # Integer | The specific offset to use as the beginning of the returned response.
}

begin
  # Get all SLOs
  result = api_instance.list_slos(opts)
  p result
rescue DatadogAPIClient::V1::APIError => e
  puts "Error when calling ServiceLevelObjectivesAPI->list_slos: #{e}"
end

import java.util.*;
import com.datadog.api.v1.client.ApiClient;
import com.datadog.api.v1.client.ApiException;
import com.datadog.api.v1.client.Configuration;
import com.datadog.api.v1.client.model.*;
import com.datadog.api.v1.client.api.ServiceLevelObjectivesApi;

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

        ServiceLevelObjectivesApi apiInstance = new ServiceLevelObjectivesApi(defaultClient);
        String ids = "id1, id2, id3"; // String | A comma separated list of the IDs of the service level objectives objects.
        String query = "monitor"; // String | The query string to filter results based on SLO names.
        String tagsQuery = "env:prod"; // String | The query string to filter results based on a single SLO tag.
        String metricsQuery = "aws.elb.request_count"; // String | The query string to filter results based on SLO numerator and denominator.
        Long limit = 56L; // Long | The number of SLOs to return in the response.
        Long offset = 56L; // Long | The specific offset to use as the beginning of the returned response.
        try {
            SLOListResponse result = apiInstance.listSLOs(new ServiceLevelObjectivesApi.ListSLOsOptionalParameters()
                .ids(ids)
                .query(query)
                .tagsQuery(tagsQuery)
                .metricsQuery(metricsQuery)
                .limit(limit)
                .offset(offset));
            System.out.println(result);
        } catch (ApiException e) {
            System.err.println("Exception when calling ServiceLevelObjectivesApi#listSLOs");
            System.err.println("Status code: " + e.getCode());
            System.err.println("Reason: " + e.getResponseBody());
            System.err.println("Response headers: " + e.getResponseHeaders());
            e.printStackTrace();
        }
    }
}

from datadog import initialize, api

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

initialize(**options)

# Search with a list of IDs
slo_ids = ["<YOUR_SLO_ID>", "<YOUR_SLO_ID>"]

api.ServiceLevelObjective.get_all(ids=slo_ids, offset=0)

# Search with a query on your SLO Name.
query = "my team"

api.ServiceLevelObjective.get_all(query=query, offset=0)

require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

# Search with a list of IDs
slo_ids = ['<YOUR_SLO_ID>']
dog.search_service_level_objective(slo_ids: slo_ids, offset: 0)

# Search with a query on your SLO Name.
query = 'my team'
dog.search_service_level_objective(query: query, offset: 0)

# Path parameters
export slo_id="CHANGE_ME"
# Curl command
curl -X PUT "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com/api/v1/slo/${slo_id}" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
-d @- << EOF
{
  "name": "Custom Metric SLO",
  "query": {
    "denominator": "sum:my.custom.metric{*}.as_count()",
    "numerator": "sum:my.custom.metric{type:good}.as_count()"
  },
  "thresholds": [
    {
      "target": 99.9,
      "timeframe": "30d"
    }
  ],
  "type": "metric"
}
EOF



           

package main

import (
    "context"
    "encoding/json"
    "fmt"
    "os"
    datadog "github.com/DataDog/datadog-api-client-go/api/v1/datadog"
)

func main() {
    ctx := datadog.NewDefaultContext(context.Background())

    sloId := "sloId_example" // string | The ID of the service level objective object.
    body := *datadog.NewServiceLevelObjective("Custom Metric SLO", []datadog.SLOThreshold{*datadog.NewSLOThreshold(float64(99.9), datadog.SLOTimeframe("7d"))}, datadog.SLOType("metric")) // ServiceLevelObjective | The edited service level objective request object.

    configuration := datadog.NewConfiguration()

    apiClient := datadog.NewAPIClient(configuration)
    resp, r, err := apiClient.ServiceLevelObjectivesApi.UpdateSLO(ctx, sloId, body)
    if err != nil {
        fmt.Fprintf(os.Stderr, "Error when calling `ServiceLevelObjectivesApi.UpdateSLO`: %v\n", err)
        fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
    }
    // response from `UpdateSLO`: SLOListResponse
    responseContent, _ := json.MarshalIndent(resp, "", "  ")
    fmt.Fprintf(os.Stdout, "Response from ServiceLevelObjectivesApi.UpdateSLO:\n%s\n", responseContent)
}

import { v1 } from "@datadog/datadog-api-client";
import * as fs from "fs";

const configuration = v1.createConfiguration();
const apiInstance = new v1.ServiceLevelObjectivesApi(configuration);

let params: v1.ServiceLevelObjectivesApiUpdateSLORequest = {
  // string | The ID of the service level objective object.
  sloId: "slo_id_example",
  // ServiceLevelObjective | The edited service level objective request object.
  body: {
    description: "description_example",
    groups: ["env:prod", "role:mysql"],
    monitorIds: [1],
    monitorTags: ["monitorTags_example"],
    name: "Custom Metric SLO",
    query: {
      denominator: "sum:my.custom.metric{*}.as_count()",
      numerator: "sum:my.custom.metric{type:good}.as_count()",
    },
    tags: ["env:prod", "app:core"],
    thresholds: [
      {
        target: 99.9,
        targetDisplay: "99.9",
        timeframe: "30d",
        warning: 90.0,
        warningDisplay: "90.0",
      },
      {
        target: 99.9,
        targetDisplay: "99.9",
        timeframe: "30d",
        warning: 90.0,
        warningDisplay: "90.0",
      },
    ],
    type: "metric",
  },
};

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

import os
from dateutil.parser import parse as dateutil_parser
from datadog_api_client.v1 import ApiClient, ApiException, Configuration
from datadog_api_client.v1.api import service_level_objectives_api
from datadog_api_client.v1.models import *
from pprint import pprint
# See configuration.py for a list of all supported configuration parameters.
configuration = Configuration()

# Enter a context with an instance of the API client
with ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = service_level_objectives_api.ServiceLevelObjectivesApi(api_client)
    slo_id = "slo_id_example"  # str | The ID of the service level objective object.
    body = ServiceLevelObjective(
        description="description_example",
        groups=["env:prod","role:mysql"],
        monitor_ids=[
            1,
        ],
        monitor_tags=[
            "monitor_tags_example",
        ],
        name="Custom Metric SLO",
        query=ServiceLevelObjectiveQuery(
            denominator="sum:my.custom.metric{*}.as_count()",
            numerator="sum:my.custom.metric{type:good}.as_count()",
        ),
        tags=["env:prod","app:core"],
        thresholds=[
            SLOThreshold(
                target=99.9,
                target_display="99.9",
                timeframe=SLOTimeframe("30d"),
                warning=90.0,
                warning_display="90.0",
            ),
        ],
        type=SLOType("metric"),
    )  # ServiceLevelObjective | The edited service level objective request object.

    # example passing only required values which don't have defaults set
    try:
        # Update an SLO
        api_response = api_instance.update_slo(slo_id, body)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling ServiceLevelObjectivesApi->update_slo: %s\n" % e)

require 'datadog_api_client'
api_instance = DatadogAPIClient::V1::ServiceLevelObjectivesAPI.new
slo_id = 'slo_id_example' # String | The ID of the service level objective object.
body = DatadogAPIClient::V1::ServiceLevelObjective.new({name: 'Custom Metric SLO', thresholds: [DatadogAPIClient::V1::SLOThreshold.new({target: 99.9, timeframe: DatadogAPIClient::V1::SLOTimeframe::SEVEN_DAYS})], type: DatadogAPIClient::V1::SLOType::METRIC}) # ServiceLevelObjective | The edited service level objective request object.

begin
  # Update an SLO
  result = api_instance.update_slo(slo_id, body)
  p result
rescue DatadogAPIClient::V1::APIError => e
  puts "Error when calling ServiceLevelObjectivesAPI->update_slo: #{e}"
end

import java.util.*;
import com.datadog.api.v1.client.ApiClient;
import com.datadog.api.v1.client.ApiException;
import com.datadog.api.v1.client.Configuration;
import com.datadog.api.v1.client.model.*;
import com.datadog.api.v1.client.api.ServiceLevelObjectivesApi;

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

        ServiceLevelObjectivesApi apiInstance = new ServiceLevelObjectivesApi(defaultClient);
        String sloId = "sloId_example"; // String | The ID of the service level objective object.
        ServiceLevelObjective body = new ServiceLevelObjective(); // ServiceLevelObjective | The edited service level objective request object.
        try {
            SLOListResponse result = apiInstance.updateSLO(sloId, body);
            System.out.println(result);
        } catch (ApiException e) {
            System.err.println("Exception when calling ServiceLevelObjectivesApi#updateSLO");
            System.err.println("Status code: " + e.getCode());
            System.err.println("Reason: " + e.getResponseBody());
            System.err.println("Response headers: " + e.getResponseHeaders());
            e.printStackTrace();
        }
    }
}

# Path parameters
export slo_id="CHANGE_ME"
# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com/api/v1/slo/${slo_id}" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"



           

package main

import (
    "context"
    "encoding/json"
    "fmt"
    "os"
    datadog "github.com/DataDog/datadog-api-client-go/api/v1/datadog"
)

func main() {
    ctx := datadog.NewDefaultContext(context.Background())

    sloId := "sloId_example" // string | The ID of the service level objective object.
    withConfiguredAlertIds := true // bool | Get the IDs of SLO monitors that reference this SLO. (optional)
    optionalParams := datadog.GetSLOOptionalParameters{
        WithConfiguredAlertIds: &withConfiguredAlertIds,
    }

    configuration := datadog.NewConfiguration()

    apiClient := datadog.NewAPIClient(configuration)
    resp, r, err := apiClient.ServiceLevelObjectivesApi.GetSLO(ctx, sloId, optionalParams)
    if err != nil {
        fmt.Fprintf(os.Stderr, "Error when calling `ServiceLevelObjectivesApi.GetSLO`: %v\n", err)
        fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
    }
    // response from `GetSLO`: SLOResponse
    responseContent, _ := json.MarshalIndent(resp, "", "  ")
    fmt.Fprintf(os.Stdout, "Response from ServiceLevelObjectivesApi.GetSLO:\n%s\n", responseContent)
}

import os
from dateutil.parser import parse as dateutil_parser
from datadog_api_client.v1 import ApiClient, ApiException, Configuration
from datadog_api_client.v1.api import service_level_objectives_api
from datadog_api_client.v1.models import *
from pprint import pprint
# See configuration.py for a list of all supported configuration parameters.
configuration = Configuration()

# Enter a context with an instance of the API client
with ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = service_level_objectives_api.ServiceLevelObjectivesApi(api_client)
    slo_id = "slo_id_example"  # str | The ID of the service level objective object.
    with_configured_alert_ids = True  # bool | Get the IDs of SLO monitors that reference this SLO. (optional)

    # example passing only required values which don't have defaults set
    try:
        # Get an SLO's details
        api_response = api_instance.get_slo(slo_id)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling ServiceLevelObjectivesApi->get_slo: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Get an SLO's details
        api_response = api_instance.get_slo(slo_id, with_configured_alert_ids=with_configured_alert_ids)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling ServiceLevelObjectivesApi->get_slo: %s\n" % e)

require 'datadog_api_client'
api_instance = DatadogAPIClient::V1::ServiceLevelObjectivesAPI.new
slo_id = 'slo_id_example' # String | The ID of the service level objective object.
opts = {
  with_configured_alert_ids: true # Boolean | Get the IDs of SLO monitors that reference this SLO.
}

begin
  # Get an SLO's details
  result = api_instance.get_slo(slo_id, opts)
  p result
rescue DatadogAPIClient::V1::APIError => e
  puts "Error when calling ServiceLevelObjectivesAPI->get_slo: #{e}"
end

import { v1 } from "@datadog/datadog-api-client";
import * as fs from "fs";

const configuration = v1.createConfiguration();
const apiInstance = new v1.ServiceLevelObjectivesApi(configuration);

let params: v1.ServiceLevelObjectivesApiGetSLORequest = {
  // string | The ID of the service level objective object.
  sloId: "slo_id_example",
  // boolean | Get the IDs of SLO monitors that reference this SLO. (optional)
  withConfiguredAlertIds: true,
};

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

import java.util.*;
import com.datadog.api.v1.client.ApiClient;
import com.datadog.api.v1.client.ApiException;
import com.datadog.api.v1.client.Configuration;
import com.datadog.api.v1.client.model.*;
import com.datadog.api.v1.client.api.ServiceLevelObjectivesApi;

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

        ServiceLevelObjectivesApi apiInstance = new ServiceLevelObjectivesApi(defaultClient);
        String sloId = "sloId_example"; // String | The ID of the service level objective object.
        Boolean withConfiguredAlertIds = true; // Boolean | Get the IDs of SLO monitors that reference this SLO.
        try {
            SLOResponse result = apiInstance.getSLO(sloId, new ServiceLevelObjectivesApi.GetSLOOptionalParameters()
                .withConfiguredAlertIds(withConfiguredAlertIds));
            System.out.println(result);
        } catch (ApiException e) {
            System.err.println("Exception when calling ServiceLevelObjectivesApi#getSLO");
            System.err.println("Status code: " + e.getCode());
            System.err.println("Reason: " + e.getResponseBody());
            System.err.println("Response headers: " + e.getResponseHeaders());
            e.printStackTrace();
        }
    }
}

from datadog import initialize, api

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

slo_id = '<YOUR_SLO_ID>'

initialize(**options)

api.ServiceLevelObjective.get(slo_id)

# This is not currently available for the Ruby API.

# Path parameters
export slo_id="CHANGE_ME"
# Curl command
curl -X DELETE "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com/api/v1/slo/${slo_id}" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"



           

package main

import (
    "context"
    "encoding/json"
    "fmt"
    "os"
    datadog "github.com/DataDog/datadog-api-client-go/api/v1/datadog"
)

func main() {
    ctx := datadog.NewDefaultContext(context.Background())

    sloId := "sloId_example" // string | The ID of the service level objective.
    force := "force_example" // string | Delete the monitor even if it's referenced by other resources (e.g. SLO, composite monitor). (optional)
    optionalParams := datadog.DeleteSLOOptionalParameters{
        Force: &force,
    }

    configuration := datadog.NewConfiguration()

    apiClient := datadog.NewAPIClient(configuration)
    resp, r, err := apiClient.ServiceLevelObjectivesApi.DeleteSLO(ctx, sloId, optionalParams)
    if err != nil {
        fmt.Fprintf(os.Stderr, "Error when calling `ServiceLevelObjectivesApi.DeleteSLO`: %v\n", err)
        fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
    }
    // response from `DeleteSLO`: SLODeleteResponse
    responseContent, _ := json.MarshalIndent(resp, "", "  ")
    fmt.Fprintf(os.Stdout, "Response from ServiceLevelObjectivesApi.DeleteSLO:\n%s\n", responseContent)
}

import { v1 } from "@datadog/datadog-api-client";
import * as fs from "fs";

const configuration = v1.createConfiguration();
const apiInstance = new v1.ServiceLevelObjectivesApi(configuration);

let params: v1.ServiceLevelObjectivesApiDeleteSLORequest = {
  // string | The ID of the service level objective.
  sloId: "slo_id_example",
  // string | Delete the monitor even if it's referenced by other resources (e.g. SLO, composite monitor). (optional)
  force: "force_example",
};

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