List Databricks integration accounts
https://api.datadoghq.com/api/v2/integration-interfaces/databricks/accountshttps://api.us3.datadoghq.com/api/v2/integration-interfaces/databricks/accountshttps://api.us5.datadoghq.com/api/v2/integration-interfaces/databricks/accountshttps://api.datadoghq.eu/api/v2/integration-interfaces/databricks/accountshttps://api.ap1.datadoghq.com/api/v2/integration-interfaces/databricks/accountshttps://api.ap2.datadoghq.com/api/v2/integration-interfaces/databricks/accountshttps://api.uk1.datadoghq.com/api/v2/integration-interfaces/databricks/accountshttps://api.ddog-gov.com/api/v2/integration-interfaces/databricks/accountshttps://api.us2.ddog-gov.com/api/v2/integration-interfaces/databricks/accountsDescripción general
List Databricks integration accounts.
Respuesta
OK
Response payload for a list of Databricks integration accounts.
data [required]List of Databricks integration accounts.
attributes [required]Attributes of a Databricks integration account returned in responses.
authenticationAuthentication configured on the Databricks integration account. A bearer_token method indicates an account still on token authentication, which Databricks accepts only on accounts that already use it.
<auth_type=databricks_oauth>The Databricks OAuth authentication method and service principal configured on the account.
auth_type [required]The authentication method type.
databricks_oauthdatabricks_oauthazure_tenant_idMicrosoft Entra ID tenant of the service principal, for Azure Databricks workspaces.
client_id [required]Client ID of the Databricks service principal.
<auth_type=private_action_runner>The Private Action Runner authentication method configured on the account.
auth_type [required]The authentication method type.
private_action_runnerprivate_action_runnerconnection_id [required]Unique identifier of the Private Action Runner connection holding the credentials.
secret_pathPath of the credential inside the secret backend configured on the runner.
user_uuid [required]Unique identifier of the user the Private Action Runner connection belongs to.
<auth_type=bearer_token>The bearer token authentication method configured on the account.
auth_type [required]The authentication method type.
bearer_tokenbearer_tokendataflowsData Datadog collects from Databricks, keyed by dataflow id.
databricks-cloud-cost-metricsCost data collected from your Databricks system tables. Requires Cloud Cost Management to be set up for your organization.
enabledWhether Datadog collects this data.
settingsSettings of the Cloud Cost Management dataflow.
ccm_collect_all_workspacesWhether cost data is collected for every workspace in the Databricks account rather than this workspace only. This takes effect across the Databricks account: if any one workspace enables it, Datadog collects cost data for all of them regardless of their individual settings, and every covered workspace incurs Cloud Cost Management charges.
databricks-data-observability-jobs-monitoringData Jobs Monitoring, which collects performance, reliability, and cost data for your Databricks jobs.
enabledWhether Datadog collects this data.
settingsSettings of the Data Jobs Monitoring dataflow.
dd_api_key_idID of the Datadog API key the global init script uses to submit data.
djm_global_init_script_enabledWhether Datadog installs and manages the Agent on your Databricks clusters through a global init script. The script does not apply to clusters in Standard access mode. When false, the Agent is installed manually.
script_gpum_enabledWhether GPU metrics are collected from your Databricks clusters. The Agent installed by the global init script performs the collection, so this requires the dataflow to be enabled with djm_global_init_script_enabled set to true.
script_logs_enabledWhether driver and worker logs are collected from your Databricks clusters. The Agent installed by the global init script performs the collection, so this requires the dataflow to be enabled with djm_global_init_script_enabled set to true.
serverless_jobs_enabledWhether health and cost data is collected for jobs running on Serverless or SQL Warehouse compute. This compute has no clusters for the global init script to target, so collection reads the Databricks system tables and requires system_tables_sql_warehouse_id.
databricks-data-observability-quality-monitoringData Observability, which collects lineage and data quality information from your Databricks catalogs so you can explore how data flows and detect, resolve, and prevent quality issues.
enabledWhether Datadog collects this data.
settingsSettings of the Data Observability dataflow.
do_crawlers_cronCron expression setting how often Datadog connects to your Databricks warehouse to collect metadata. Currently, only hourly (0 * * * *) and daily (0 0 * * *) are supported.
sync_system_catalogWhether metadata from the Databricks system catalog is included in Data Observability alongside your data catalogs.
databricks-model-serving-metricsHealth and usage metrics for your Databricks model serving endpoints. Not supported on accounts that authenticate with private_action_runner; on those accounts this dataflow collects no data.
enabledWhether Datadog collects this data.
name [required]Human-readable name of the Databricks integration account.
settings [required]Settings configured on the Databricks integration account.
system_tables_sql_warehouse_idID of the SQL warehouse used to query the Databricks system tables.
workspace_url [required]URL of the Databricks workspace.
id [required]Server-generated unique identifier of the Databricks integration account.
type [required]The type of the integration account resource. Always integration-account.
integration-accountintegration-account{
"data": [
{
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
]
}Bad Request
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"
]
}Ejemplo de código
# 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/v2/integration-interfaces/databricks/accounts" \
-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/v2/integration-interfaces/databricks/accounts" \
-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/v2/integration-interfaces/databricks/accounts" \
-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/v2/integration-interfaces/databricks/accounts" \
-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/v2/integration-interfaces/databricks/accounts" \
-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/v2/integration-interfaces/databricks/accounts" \
-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/v2/integration-interfaces/databricks/accounts" \
-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/v2/integration-interfaces/databricks/accounts" \
-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/v2/integration-interfaces/databricks/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"// List Databricks integration accounts returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.ListDatabricksIntegrationAccounts", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewDatabricksIntegrationApi(apiClient)
resp, r, err := api.ListDatabricksIntegrationAccounts(ctx)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `DatabricksIntegrationApi.ListDatabricksIntegrationAccounts`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `DatabricksIntegrationApi.ListDatabricksIntegrationAccounts`:\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"// List Databricks integration accounts returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DatabricksIntegrationApi;
import com.datadog.api.client.v2.model.DatabricksIntegrationAccountsResponse;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.listDatabricksIntegrationAccounts", true);
DatabricksIntegrationApi apiInstance = new DatabricksIntegrationApi(defaultClient);
try {
DatabricksIntegrationAccountsResponse result =
apiInstance.listDatabricksIntegrationAccounts();
System.out.println(result);
} catch (ApiException e) {
System.err.println(
"Exception when calling DatabricksIntegrationApi#listDatabricksIntegrationAccounts");
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""""
List Databricks integration accounts returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.databricks_integration_api import DatabricksIntegrationApi
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["list_databricks_integration_accounts"] = True
with ApiClient(configuration) as api_client:
api_instance = DatabricksIntegrationApi(api_client)
response = api_instance.list_databricks_integration_accounts()
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"# List Databricks integration accounts returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.list_databricks_integration_accounts".to_sym] = true
end
api_instance = DatadogAPIClient::V2::DatabricksIntegrationAPI.new
p api_instance.list_databricks_integration_accounts()
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"// List Databricks integration accounts returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_databricks_integration::DatabricksIntegrationAPI;
#[tokio::main]
async fn main() {
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.list_databricks_integration_accounts", true);
let api = DatabricksIntegrationAPI::with_config(configuration);
let resp = api.list_databricks_integration_accounts().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="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run/**
* List Databricks integration accounts 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,
},
},
});
configuration.unstableOperations["v2.listDatabricksIntegrationAccounts"] = true;
const apiInstance = new v2.DatabricksIntegrationApi(configuration);
apiInstance
.listDatabricksIntegrationAccounts()
.then((data: v2.DatabricksIntegrationAccountsResponse) => {
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"