Start a progressive rollout
POST
https://api.datadoghq.com/api/v2/feature-flags/exposure-schedules/{exposure_schedule_id}/starthttps://api.us3.datadoghq.com/api/v2/feature-flags/exposure-schedules/{exposure_schedule_id}/starthttps://api.us5.datadoghq.com/api/v2/feature-flags/exposure-schedules/{exposure_schedule_id}/starthttps://api.datadoghq.eu/api/v2/feature-flags/exposure-schedules/{exposure_schedule_id}/starthttps://api.ap1.datadoghq.com/api/v2/feature-flags/exposure-schedules/{exposure_schedule_id}/starthttps://api.ap2.datadoghq.com/api/v2/feature-flags/exposure-schedules/{exposure_schedule_id}/starthttps://api.uk1.datadoghq.com/api/v2/feature-flags/exposure-schedules/{exposure_schedule_id}/starthttps://api.ddog-gov.com/api/v2/feature-flags/exposure-schedules/{exposure_schedule_id}/starthttps://api.us2.ddog-gov.com/api/v2/feature-flags/exposure-schedules/{exposure_schedule_id}/startOverview
Starts a progressive rollout and begins progression.
OAuth apps require the feature_flag_config_write authorization scope to access this endpoint.
Arguments
Path Parameters
Name
Type
Description
exposure_schedule_id [required]string
The ID of the exposure schedule.
Response
OK
Response containing a progressive rollout schedule.
Field
Type
Description
data [required]object
Data wrapper for progressive rollout schedule responses.
attributes [required]object
Progressive release details for a targeting rule allocation.
absolute_start_timedate-time
The absolute UTC start time for this schedule.
allocation_id [required]uuid
The targeting rule allocation ID this progressive rollout belongs to.
control_variant_idstring
The control variant ID used for experiment comparisons.
created_at [required]date-time
The timestamp when the schedule was created.
guardrail_triggered_actionstring
Last guardrail action triggered for this schedule.
guardrail_triggers [required][object]
Guardrail trigger records for this schedule.
allocation_exposure_schedule_id [required]uuid
The progressive rollout ID this trigger belongs to.
created_at [required]date-time
The timestamp when this trigger was created.
flagging_variant_id [required]uuid
The variant ID that triggered this event.
id [required]uuid
The unique identifier of the guardrail trigger.
metric_id [required]string
The metric ID associated with the trigger.
triggered_action [required]string
The action that was triggered.
updated_at [required]date-time
The timestamp when this trigger was last updated.
iduuid
The unique identifier of the progressive rollout.
rollout_options [required]object
Applied progression options for a progressive rollout.
autostart [required]boolean
Whether the schedule starts automatically.
selection_interval_ms [required]int64
Interval in milliseconds for uniform interval strategies.
strategy [required]enum
The progression strategy used by a progressive rollout.
Allowed enum values:
UNIFORM_INTERVALS, NO_ROLLOUTrollout_steps [required][object]
Ordered progression steps for exposure.
allocation_exposure_schedule_id [required]uuid
The progressive rollout ID this step belongs to.
created_at [required]date-time
The timestamp when the progression step was created.
exposure_ratio [required]double
The exposure ratio for this step.
grouped_step_index [required]int64
Logical index grouping related steps.
id [required]uuid
The unique identifier of the progression step.
interval_msint64
Step duration in milliseconds.
is_pause_record [required]boolean
Whether this step represents a pause record.
order_position [required]int64
Sort order for the progression step.
updated_at [required]date-time
The timestamp when the progression step was last updated.
updated_at [required]date-time
The timestamp when the schedule was last updated.
id [required]uuid
The unique identifier of the progressive rollout.
type [required]enum
The resource type for progressive rollout schedules.
Allowed enum values:
allocation_exposure_schedules{
"data": {
"attributes": {
"absolute_start_time": "2025-06-13T12:00:00Z",
"allocation_id": "550e8400-e29b-41d4-a716-446655440020",
"control_variant_id": "550e8400-e29b-41d4-a716-446655440012",
"created_at": "2024-01-01T12:00:00Z",
"guardrail_triggered_action": "PAUSE",
"guardrail_triggers": [
{
"allocation_exposure_schedule_id": "550e8400-e29b-41d4-a716-446655440010",
"created_at": "2024-01-01T12:00:00Z",
"flagging_variant_id": "550e8400-e29b-41d4-a716-446655440001",
"id": "550e8400-e29b-41d4-a716-446655440080",
"metric_id": "metric-error-rate",
"triggered_action": "PAUSE",
"updated_at": "2024-01-01T12:00:00Z"
}
],
"id": "550e8400-e29b-41d4-a716-446655440010",
"rollout_options": {
"autostart": false,
"selection_interval_ms": 3600000,
"strategy": "UNIFORM_INTERVALS"
},
"rollout_steps": [
{
"allocation_exposure_schedule_id": "550e8400-e29b-41d4-a716-446655440010",
"created_at": "2024-01-01T12:00:00Z",
"exposure_ratio": 0.1,
"grouped_step_index": 0,
"id": "550e8400-e29b-41d4-a716-446655440040",
"interval_ms": 3600000,
"is_pause_record": false,
"order_position": 0,
"updated_at": "2024-01-01T12:00:00Z"
}
],
"updated_at": "2024-01-01T12:00:00Z"
},
"id": "550e8400-e29b-41d4-a716-446655440010",
"type": "allocation_exposure_schedules"
}
}Bad Request
API error response.
Field
Type
Description
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Forbidden
API error response.
Field
Type
Description
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Not Found
API error response.
Field
Type
Description
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Conflict
API error response.
Field
Type
Description
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Too many requests
API error response.
Field
Type
Description
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Code Example
Start a progressive rollout
# Path parameters
export exposure_schedule_id="550e8400-e29b-41d4-a716-446655440010"
# 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.${DD_SITE}/api/v2/feature-flags/exposure-schedules/${exposure_schedule_id}/start" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export exposure_schedule_id="550e8400-e29b-41d4-a716-446655440010"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/feature-flags/exposure-schedules/${exposure_schedule_id}/start" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export exposure_schedule_id="550e8400-e29b-41d4-a716-446655440010"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/feature-flags/exposure-schedules/${exposure_schedule_id}/start" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export exposure_schedule_id="550e8400-e29b-41d4-a716-446655440010"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/feature-flags/exposure-schedules/${exposure_schedule_id}/start" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export exposure_schedule_id="550e8400-e29b-41d4-a716-446655440010"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/feature-flags/exposure-schedules/${exposure_schedule_id}/start" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export exposure_schedule_id="550e8400-e29b-41d4-a716-446655440010"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/feature-flags/exposure-schedules/${exposure_schedule_id}/start" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export exposure_schedule_id="550e8400-e29b-41d4-a716-446655440010"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/feature-flags/exposure-schedules/${exposure_schedule_id}/start" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export exposure_schedule_id="550e8400-e29b-41d4-a716-446655440010"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/feature-flags/exposure-schedules/${exposure_schedule_id}/start" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export exposure_schedule_id="550e8400-e29b-41d4-a716-446655440010"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/feature-flags/exposure-schedules/${exposure_schedule_id}/start" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"Start a progressive rollout
// Start a progressive rollout 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"
"github.com/google/uuid"
)
func main() {
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewFeatureFlagsApi(apiClient)
resp, r, err := api.StartExposureSchedule(ctx, uuid.MustParse("550e8400-e29b-41d4-a716-446655440010"))
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `FeatureFlagsApi.StartExposureSchedule`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `FeatureFlagsApi.StartExposureSchedule`:\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"Start a progressive rollout
// Start a progressive rollout returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.FeatureFlagsApi;
import com.datadog.api.client.v2.model.AllocationExposureScheduleResponse;
import java.util.UUID;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
FeatureFlagsApi apiInstance = new FeatureFlagsApi(defaultClient);
try {
AllocationExposureScheduleResponse result =
apiInstance.startExposureSchedule(
UUID.fromString("550e8400-e29b-41d4-a716-446655440010"));
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling FeatureFlagsApi#startExposureSchedule");
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"Start a progressive rollout
"""
Start a progressive rollout returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.feature_flags_api import FeatureFlagsApi
from uuid import UUID
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = FeatureFlagsApi(api_client)
response = api_instance.start_exposure_schedule(
exposure_schedule_id=UUID("550e8400-e29b-41d4-a716-446655440010"),
)
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"Start a progressive rollout
# Start a progressive rollout returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::FeatureFlagsAPI.new
p api_instance.start_exposure_schedule("550e8400-e29b-41d4-a716-446655440010")
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"Start a progressive rollout
// Start a progressive rollout returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_feature_flags::FeatureFlagsAPI;
use uuid::Uuid;
#[tokio::main]
async fn main() {
let configuration = datadog::Configuration::new();
let api = FeatureFlagsAPI::with_config(configuration);
let resp = api
.start_exposure_schedule(
Uuid::parse_str("550e8400-e29b-41d4-a716-446655440010").expect("invalid UUID"),
)
.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 runStart a progressive rollout
/**
* Start a progressive rollout returns "OK" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
const apiInstance = new v2.FeatureFlagsApi(configuration);
const params: v2.FeatureFlagsApiStartExposureScheduleRequest = {
exposureScheduleId: "550e8400-e29b-41d4-a716-446655440010",
};
apiInstance
.startExposureSchedule(params)
.then((data: v2.AllocationExposureScheduleResponse) => {
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"