일정 배포 트리거
https://api.datadoghq.com/api/unstable/fleet/schedules/{id}/triggerhttps://api.us3.datadoghq.com/api/unstable/fleet/schedules/{id}/triggerhttps://api.us5.datadoghq.com/api/unstable/fleet/schedules/{id}/triggerhttps://api.datadoghq.eu/api/unstable/fleet/schedules/{id}/triggerhttps://api.ap1.datadoghq.com/api/unstable/fleet/schedules/{id}/triggerhttps://api.ap2.datadoghq.com/api/unstable/fleet/schedules/{id}/triggerhttps://api.uk1.datadoghq.com/api/unstable/fleet/schedules/{id}/triggerhttps://api.ddog-gov.com/api/unstable/fleet/schedules/{id}/triggerhttps://api.us2.ddog-gov.com/api/unstable/fleet/schedules/{id}/trigger개요
일정을 수동으로 트리거하여 즉시 배포를 생성하고 시작합니다.
이 엔드포인트를 사용하면 예정된 유지 관리 기간을 기다리지 않고 일정의 구성을 사용하여 배포를 수동으로 시작할 수 있습니다. 이러한 방식은 다음에 유용합니다.
- 일정이 자동으로 실행되기 전에 테스트
- 정기 유지 관리 기간 외에 긴급 업데이트 수행
- 일정과 동일한 설정으로 임시 배포 생성
배포는 다음과 함께 즉시 생성됩니다:
- 일정과 동일한 필터 쿼리
- 일정의 버전 전략에 의해 결정된 패키지 버전
- 일치하는 모든 호스트를 대상으로
수동으로 트리거된 배포는 일정을 따르지 않으며 일정의 일반적인 반복 패턴에 영향을 미치지 않습니다.
인수
경로 파라미터
id [required]The unique identifier of the schedule to trigger.
응답
CREATED - Deployment successfully created and started.
Response containing a single deployment.
dataA deployment that defines automated configuration changes for a fleet of hosts.
attributes [required]Attributes of a deployment in the response.
config_operationsOrdered list of configuration file operations to perform on the target hosts.
file_op [required]Type of file operation to perform on the target configuration file.
merge-patch: Merges the provided patch data with the existing configuration file. Creates the file if it doesn't exist.delete: Removes the specified configuration file from the target hosts.
merge-patch, deletefile_path [required]Absolute path to the target configuration file on the host.
patchPatch data in JSON format to apply to the configuration file.
When using merge-patch, this object is merged with the existing configuration,
allowing you to add, update, or override specific fields without replacing the entire file.
The structure must match the target configuration file format (for example, YAML structure
for Datadog Agent config). Not applicable when using the delete operation.
estimated_end_time_unixEstimated completion time of the deployment as a Unix timestamp (seconds since epoch).
filter_queryQuery used to filter and select target hosts for the deployment. Uses the Datadog query syntax.
high_level_statusCurrent high-level status of the deployment (for example, "pending", "running", "completed", "failed").
hostsPaginated list of hosts in this deployment with their individual statuses. Only included
when fetching a single deployment by ID. Use the limit and page query parameters to
navigate through pages. Pagination metadata is included in the response meta.hosts field.
errorError message if the deployment failed on this host.
hostnameThe hostname of the agent.
statusCurrent deployment status for this specific host.
versionsList of packages and their versions currently installed on this host.
current_versionThe current version of the package on the host.
initial_versionThe initial version of the package on the host before the deployment started.
package_nameThe name of the package.
target_versionThe target version that the deployment is attempting to install.
packagesList of packages to deploy to target hosts. Present only for package upgrade deployments.
name [required]The name of the package to deploy.
version [required]The target version of the package to deploy.
total_hostsTotal number of hosts targeted by this deployment.
id [required]Unique identifier for the deployment.
type [required]The type of deployment resource.
deploymentdeploymentmetaMetadata for a single deployment response, including pagination information for hosts.
hostsPagination details for the list of hosts in a deployment.
current_pageCurrent page index (zero-based).
page_sizeNumber of hosts returned per page.
total_hostsTotal number of hosts in this deployment.
total_pagesTotal number of pages available.
{
"data": {
"attributes": {
"config_operations": [
{
"file_op": "merge-patch",
"file_path": "/datadog.yaml",
"patch": {
"apm_config": {
"enabled": true
},
"log_level": "debug",
"logs_enabled": true
}
}
],
"estimated_end_time_unix": 1699999999,
"filter_query": "env:prod AND service:web",
"high_level_status": "pending",
"hosts": [
{
"error": "",
"hostname": "web-server-01.example.com",
"status": "succeeded",
"versions": [
{
"current_version": "7.51.0",
"initial_version": "7.51.0",
"package_name": "datadog-agent",
"target_version": "7.52.0"
}
]
}
],
"packages": [
{
"name": "datadog-agent",
"version": "7.52.0"
}
],
"total_hosts": 42
},
"id": "aeadc05e-98a8-11ec-ac2c-da7ad0900001",
"type": "deployment"
},
"meta": {
"hosts": {
"current_page": 0,
"page_size": 50,
"total_hosts": 150,
"total_pages": 3
}
}
}Bad Request
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Unauthorized
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Forbidden
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Not Found
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Too many requests
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}코드 예시
# Path parameters
export id="abc-def-ghi-123"
# 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 POST "https://api.${DD_SITE}/api/unstable/fleet/schedules/${id}/trigger" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export id="abc-def-ghi-123"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules/${id}/trigger" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export id="abc-def-ghi-123"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules/${id}/trigger" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export id="abc-def-ghi-123"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules/${id}/trigger" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export id="abc-def-ghi-123"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules/${id}/trigger" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export id="abc-def-ghi-123"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules/${id}/trigger" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export id="abc-def-ghi-123"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules/${id}/trigger" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export id="abc-def-ghi-123"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules/${id}/trigger" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export id="abc-def-ghi-123"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules/${id}/trigger" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"// Trigger a schedule deployment returns "CREATED - Deployment successfully created and started." 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())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.TriggerFleetSchedule", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewFleetAutomationApi(apiClient)
resp, r, err := api.TriggerFleetSchedule(ctx, "id")
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `FleetAutomationApi.TriggerFleetSchedule`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `FleetAutomationApi.TriggerFleetSchedule`:\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"// Trigger a schedule deployment returns "CREATED - Deployment successfully created and started."
// response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.FleetAutomationApi;
import com.datadog.api.client.v2.model.FleetDeploymentResponse;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.triggerFleetSchedule", true);
FleetAutomationApi apiInstance = new FleetAutomationApi(defaultClient);
try {
FleetDeploymentResponse result = apiInstance.triggerFleetSchedule("abc-def-ghi-123");
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling FleetAutomationApi#triggerFleetSchedule");
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""""
Trigger a schedule deployment returns "CREATED - Deployment successfully created and started." response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.fleet_automation_api import FleetAutomationApi
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["trigger_fleet_schedule"] = True
with ApiClient(configuration) as api_client:
api_instance = FleetAutomationApi(api_client)
response = api_instance.trigger_fleet_schedule(
id="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"# Trigger a schedule deployment returns "CREATED - Deployment successfully created and started." response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.trigger_fleet_schedule".to_sym] = true
end
api_instance = DatadogAPIClient::V2::FleetAutomationAPI.new
p api_instance.trigger_fleet_schedule("id")
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"// Trigger a schedule deployment returns "CREATED - Deployment successfully
// created and started." response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_fleet_automation::FleetAutomationAPI;
#[tokio::main]
async fn main() {
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.trigger_fleet_schedule", true);
let api = FleetAutomationAPI::with_config(configuration);
let resp = api.trigger_fleet_schedule("id".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.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run/**
* Trigger a schedule deployment returns "CREATED - Deployment successfully created and started." response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
configuration.unstableOperations["v2.triggerFleetSchedule"] = true;
const apiInstance = new v2.FleetAutomationApi(configuration);
const params: v2.FleetAutomationApiTriggerFleetScheduleRequest = {
id: "id",
};
apiInstance
.triggerFleetSchedule(params)
.then((data: v2.FleetDeploymentResponse) => {
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"