모든 SLO 가져오기 - 서비스 수준 목표(Service Level Objectives)

GEThttps://api.datadoghq.com/api/v1/slohttps://api.us3.datadoghq.com/api/v1/slohttps://api.us5.datadoghq.com/api/v1/slohttps://api.datadoghq.eu/api/v1/slohttps://api.ap1.datadoghq.com/api/v1/slohttps://api.ap2.datadoghq.com/api/v1/slohttps://api.uk1.datadoghq.com/api/v1/slohttps://api.ddog-gov.com/api/v1/slohttps://api.us2.ddog-gov.com/api/v1/slo

개요

조직의 서비스 수준 목표 객체 목록을 가져옵니다.

This endpoint requires the slos_read permission.

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

인수

쿼리 문자열

이름

유형

설명

ids

string

A comma separated list of the IDs of the service level objectives objects.

query

string

The query string to filter results based on SLO names.

tags_query

string

The query string to filter results based on a single SLO tag.

metrics_query

string

The query string to filter results based on SLO numerator and denominator.

limit

integer

The number of SLOs to return in the response.

Default: 1000

offset

integer

The specific offset to use as the beginning of the returned response.

is_deleted

boolean

Whether to return only deleted service level objective objects.

Default: false

응답

A response with one or more service level objective.

항목

유형

설명

data

[object]

An array of service level objective objects.

created_at

int64

Creation timestamp (UNIX time in seconds)

Always included in service level objective responses.

creator

object

Object describing the creator of the shared element.

description

string

A user-defined description of the service level objective.

Always included in service level objective responses (but may be null). Optional in create/update requests.

groups

[string]

A list of (up to 100) monitor groups that narrow the scope of a monitor service level objective.

Included in service level objective responses if it is not empty. Optional in create/update requests for monitor service level objectives, but may only be used when then length of the monitor_ids field is one.

id

string

A unique identifier for the service level objective object.

Always included in service level objective responses.

modified_at

int64

Modification timestamp (UNIX time in seconds)

Always included in service level objective responses.

monitor_ids

[integer]

A list of monitor ids that defines the scope of a monitor service level objective. Required if type is monitor.

monitor_tags

[string]

The union of monitor tags for all monitors referenced by the monitor_ids field. Always included in service level objective responses for monitor-based service level objectives (but may be empty). Ignored in create/update requests. Does not affect which monitors are included in the service level objective (that is determined entirely by the monitor_ids field).

name [required]

string

The name of the service level objective object.

query

object

A count-based (metric) SLO query. This field is superseded by sli_specification but is retained for backwards compatibility. Note that Datadog only allows the sum by aggregator to be used because this will sum up all request counts instead of averaging them, or taking the max or min of all of those requests.

sli_specification

<oneOf>

A generic SLI specification. This is used for time-slice and count-based (metric) SLOs only.

Object 1

object

A time-slice SLI specification.

Object 2

object

A metric SLI specification.

count [required]

<oneOf>

A count-based (metric) SLI specification, composed of three parts: the good events formula, the bad or total events formula, and the underlying queries. Exactly one of total_events_formula or bad_events_formula must be provided.

Object 1

object

SLO count definition using a total events formula alongside a good events formula.

Object 2

object

SLO count definition using a bad events formula alongside a good events formula.

tags

[string]

A list of tags associated with this service level objective. Always included in service level objective responses (but may be empty). Optional in create/update requests.

target_threshold

double

The target threshold such that when the service level indicator is above this threshold over the given timeframe, the objective is being met.

thresholds [required]

[object]

The thresholds (timeframes and associated targets) for this service level objective object.

timeframe

enum

The SLO time window options. Note that "custom" is not a valid option for creating or updating SLOs. It is only used when querying SLO history over custom timeframes.

Allowed enum values: 7d, 30d, 90d, custom

type [required]

enum

The type of the service level objective.

Allowed enum values: metric, monitor, time_slice

warning_threshold

double

The optional warning threshold such that when the service level indicator is below this value for the given threshold, but above the target threshold, the objective appears in a "warning" state. This value must be greater than the target threshold.

errors

[string]

An array of error messages. Each endpoint documents how/whether this field is used.

metadata

object

The metadata object containing additional information about the list of SLOs.

{
  "data": [
    {
      "created_at": "integer",
      "creator": {
        "email": "string",
        "handle": "string",
        "name": "string"
      },
      "description": "string",
      "groups": [
        "env:prod",
        "role:mysql"
      ],
      "id": "string",
      "modified_at": "integer",
      "monitor_ids": [],
      "monitor_tags": [],
      "name": "Custom Metric SLO",
      "query": {
        "denominator": "sum:my.custom.metric{*}.as_count()",
        "numerator": "sum:my.custom.metric{type:good}.as_count()"
      },
      "sli_specification": {
        "time_slice": {
          "comparator": ">",
          "query": {
            "formulas": [
              {
                "formula": "query1 - default_zero(query2)"
              }
            ],
            "queries": [
              []
            ]
          },
          "query_interval_seconds": 300,
          "threshold": 5
        }
      },
      "tags": [
        "env:prod",
        "app:core"
      ],
      "target_threshold": 99.9,
      "thresholds": [
        {
          "target": 99.9,
          "target_display": "99.9",
          "timeframe": "30d",
          "warning": 90,
          "warning_display": "90.0"
        }
      ],
      "timeframe": "30d",
      "type": "metric",
      "warning_threshold": 99.95
    }
  ],
  "errors": [],
  "metadata": {
    "page": {
      "total_count": "integer",
      "total_filtered_count": "integer"
    }
  }
}

Bad Request

Error response object.

항목

유형

설명

errors [required]

[string]

Array of errors returned by the API.

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

Forbidden

Error response object.

항목

유형

설명

errors [required]

[string]

Array of errors returned by the API.

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

Not Found

Error response object.

항목

유형

설명

errors [required]

[string]

Array of errors returned by the API.

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

Too many requests

Error response object.

항목

유형

설명

errors [required]

[string]

Array of errors returned by the API.

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

코드 예시

모든 SLO 가져오기

# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v1/slo" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v1/slo" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v1/slo" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v1/slo" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v1/slo" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v1/slo" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v1/slo" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v1/slo" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v1/slo" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

모든 SLO 가져오기

// Get all SLOs 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() {
	// there is a valid "slo" in the system
	SloData0ID := os.Getenv("SLO_DATA_0_ID")

	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewServiceLevelObjectivesApi(apiClient)
	resp, r, err := api.ListSLOs(ctx, *datadogV1.NewListSLOsOptionalParameters().WithIds(SloData0ID))

	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)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `ServiceLevelObjectivesApi.ListSLOs`:\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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

모든 SLO 가져오기

// Get all SLOs returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.ServiceLevelObjectivesApi;
import com.datadog.api.client.v1.api.ServiceLevelObjectivesApi.ListSLOsOptionalParameters;
import com.datadog.api.client.v1.model.SLOListResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    ServiceLevelObjectivesApi apiInstance = new ServiceLevelObjectivesApi(defaultClient);

    // there is a valid "slo" in the system
    String SLO_DATA_0_ID = System.getenv("SLO_DATA_0_ID");

    try {
      SLOListResponse result =
          apiInstance.listSLOs(new ListSLOsOptionalParameters().ids(SLO_DATA_0_ID));
      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();
    }
  }
}

Instructions

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

DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

모든 SLO 가져오기

"""
Get all SLOs returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.service_level_objectives_api import ServiceLevelObjectivesApi

# there is a valid "slo" in the system
SLO_DATA_0_ID = environ["SLO_DATA_0_ID"]

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = ServiceLevelObjectivesApi(api_client)
    response = api_instance.list_slos(
        ids=SLO_DATA_0_ID,
    )

    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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

모든 SLO 가져오기

# Get all SLOs returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V1::ServiceLevelObjectivesAPI.new

# there is a valid "slo" in the system
SLO_DATA_0_ID = ENV["SLO_DATA_0_ID"]
opts = {
  ids: SLO_DATA_0_ID,
}
p api_instance.list_slos(opts)

Instructions

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

DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

모든 SLO 가져오기

// Get all SLOs returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_service_level_objectives::ListSLOsOptionalParams;
use datadog_api_client::datadogV1::api_service_level_objectives::ServiceLevelObjectivesAPI;

#[tokio::main]
async fn main() {
    // there is a valid "slo" in the system
    let slo_data_0_id = std::env::var("SLO_DATA_0_ID").unwrap();
    let configuration = datadog::Configuration::new();
    let api = ServiceLevelObjectivesAPI::with_config(configuration);
    let resp = api
        .list_slos(ListSLOsOptionalParams::default().ids(slo_data_0_id.clone()))
        .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.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

모든 SLO 가져오기

/**
 * Get all SLOs returns "OK" response
 */

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

const configuration = client.createConfiguration({
  authMethods: {
    AuthZ: {
      accessToken: process.env.DD_BEARER_TOKEN as string,
    },
  },
});
const apiInstance = new v1.ServiceLevelObjectivesApi(configuration);

// there is a valid "slo" in the system
const SLO_DATA_0_ID = process.env.SLO_DATA_0_ID as string;

const params: v1.ServiceLevelObjectivesApiListSLOsRequest = {
  ids: SLO_DATA_0_ID,
};

apiInstance
  .listSLOs(params)
  .then((data: v1.SLOListResponse) => {
    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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"

DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"

DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"

DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"

DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"

DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"

DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"

DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"

DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"

모든 SLO 가져오기

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)

Instructions

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

DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

DD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

DD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

DD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

DD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

DD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

DD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

DD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

DD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

모든 SLO 가져오기

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)

Instructions

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

DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

DD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

DD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

DD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

DD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

DD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

DD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

DD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

DD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"