Search inferred DEM journeys
https://api.datadoghq.com/api/v2/dem/journeys/inferred/searchhttps://api.us3.datadoghq.com/api/v2/dem/journeys/inferred/searchhttps://api.us5.datadoghq.com/api/v2/dem/journeys/inferred/searchhttps://api.datadoghq.eu/api/v2/dem/journeys/inferred/searchhttps://api.ap1.datadoghq.com/api/v2/dem/journeys/inferred/searchhttps://api.ap2.datadoghq.com/api/v2/dem/journeys/inferred/searchhttps://api.uk1.datadoghq.com/api/v2/dem/journeys/inferred/searchhttps://api.ddog-gov.com/api/v2/dem/journeys/inferred/searchhttps://api.us2.ddog-gov.com/api/v2/dem/journeys/inferred/searchPrésentation
Search for inferred DEM journeys by status. Returns candidates (status=candidate, the default) or ignored journeys (status=ignored). Supports optional fuzzy name filtering and app ID filtering.
Arguments
Chaînes de requête
statusFilter by inferred journey status. Use candidate (default) to retrieve journeys suggested for promotion, or ignored to retrieve journeys that have been dismissed.
candidatecandidate, ignoredqFuzzy search query to filter inferred journeys by name.
app_idFilter inferred journeys by application ID.
Réponse
OK
Response body for searching inferred journeys. Contains either candidate or ignored items depending on the status query parameter.
data [required]List of inferred journey items matching the search criteria.
Object 1Data object for an inferred journey candidate.
attributes [required]Attributes of an inferred journey candidate.
created_at [required]Timestamp when the inferred journey was first observed.
descriptionAn optional description of the inferred journey.
journey_rum [required]The RUM definition for a DEM journey.
filterAn optional RUM query filter applied to the entire journey.
rum_steps [required]List of RUM journey steps.
nodes [required]List of RUM nodes within a journey step.
app_idThe application ID associated with this node.
idThe ID of the RUM node element.
query [required]The RUM query for matching this node.
type [required]The type of a RUM journey step.
start, stop, stepvariantsList of variants associated with a DEM journey.
filterAn optional RUM query filter to scope this variant.
idThe unique identifier of the variant.
name [required]The name of the variant.
rum_steps [required]List of RUM journey steps.
nodes [required]List of RUM nodes within a journey step.
app_idThe application ID associated with this node.
idThe ID of the RUM node element.
query [required]The RUM query for matching this node.
type [required]The type of a RUM journey step.
start, stop, stepname [required]The name of the inferred journey.
org_id [required]The organization ID that owns this inferred journey.
rankRanking score of the inferred journey candidate.
tags [required]List of tags associated with a DEM resource.
test_suiteA test suite associated with a DEM resource.
id [required]The ID of the test suite.
name [required]The name of the test suite.
variants [required]List of variants associated with a DEM journey.
filterAn optional RUM query filter to scope this variant.
idThe unique identifier of the variant.
name [required]The name of the variant.
rum_steps [required]List of RUM journey steps.
nodes [required]List of RUM nodes within a journey step.
app_idThe application ID associated with this node.
idThe ID of the RUM node element.
query [required]The RUM query for matching this node.
type [required]The type of a RUM journey step.
start, stop, stepid [required]The unique identifier of the inferred journey.
type [required]The type identifier for DEM journeys.
journeysObject 2Data object for an ignored inferred journey.
attributes [required]Attributes of an ignored inferred journey.
created_at [required]Timestamp when the inferred journey was first observed.
descriptionAn optional description of the inferred journey.
ignored_at [required]Timestamp when the inferred journey was ignored.
journey_rum [required]The RUM definition for a DEM journey.
filterAn optional RUM query filter applied to the entire journey.
rum_steps [required]List of RUM journey steps.
nodes [required]List of RUM nodes within a journey step.
app_idThe application ID associated with this node.
idThe ID of the RUM node element.
query [required]The RUM query for matching this node.
type [required]The type of a RUM journey step.
start, stop, stepvariantsList of variants associated with a DEM journey.
filterAn optional RUM query filter to scope this variant.
idThe unique identifier of the variant.
name [required]The name of the variant.
rum_steps [required]List of RUM journey steps.
nodes [required]List of RUM nodes within a journey step.
app_idThe application ID associated with this node.
idThe ID of the RUM node element.
query [required]The RUM query for matching this node.
type [required]The type of a RUM journey step.
start, stop, stepname [required]The name of the inferred journey.
org_id [required]The organization ID that owns this inferred journey.
tags [required]List of tags associated with a DEM resource.
test_suiteA test suite associated with a DEM resource.
id [required]The ID of the test suite.
name [required]The name of the test suite.
variants [required]List of variants associated with a DEM journey.
filterAn optional RUM query filter to scope this variant.
idThe unique identifier of the variant.
name [required]The name of the variant.
rum_steps [required]List of RUM journey steps.
nodes [required]List of RUM nodes within a journey step.
app_idThe application ID associated with this node.
idThe ID of the RUM node element.
query [required]The RUM query for matching this node.
type [required]The type of a RUM journey step.
start, stop, stepid [required]The unique identifier of the ignored inferred journey.
type [required]The type identifier for DEM journeys.
journeys{
"data": [
{
"attributes": {
"created_at": "2024-01-15T10:30:00Z",
"description": null,
"journey_rum": {
"filter": "env:prod",
"rum_steps": [
{
"nodes": [
{
"app_id": "app-xyz789",
"id": "element-id-123",
"query": "action.name:'checkout'"
}
],
"type": "start"
}
],
"variants": [
{
"filter": "device.type:mobile",
"id": "variant-001",
"name": "Mobile checkout",
"rum_steps": [
{
"nodes": [
{
"app_id": "app-xyz789",
"id": "element-id-123",
"query": "action.name:'checkout'"
}
],
"type": "start"
}
]
}
]
},
"name": "Checkout Flow",
"org_id": 12345,
"rank": 1,
"tags": [
"team:synthetics",
"env:prod"
],
"test_suite": {
"id": "suite-abc123",
"name": "My Journey Suite"
},
"variants": [
{
"filter": "device.type:mobile",
"id": "variant-001",
"name": "Mobile checkout",
"rum_steps": [
{
"nodes": [
{
"app_id": "app-xyz789",
"id": "element-id-123",
"query": "action.name:'checkout'"
}
],
"type": "start"
}
]
}
]
},
"id": "inferred-journey-abc123",
"type": "journeys"
}
]
}Bad Request
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Not Found
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Too many requests
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Exemple de code
# 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/dem/journeys/inferred/search" \
-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/dem/journeys/inferred/search" \
-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/dem/journeys/inferred/search" \
-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/dem/journeys/inferred/search" \
-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/dem/journeys/inferred/search" \
-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/dem/journeys/inferred/search" \
-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/dem/journeys/inferred/search" \
-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/dem/journeys/inferred/search" \
-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/dem/journeys/inferred/search" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"// Search inferred DEM journeys 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()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewDEMApi(apiClient)
resp, r, err := api.SearchInferredJourneys(ctx, *datadogV2.NewSearchInferredJourneysOptionalParameters())
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `DEMApi.SearchInferredJourneys`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `DEMApi.SearchInferredJourneys`:\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"// Search inferred DEM journeys returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DemApi;
import com.datadog.api.client.v2.model.DemSearchInferredJourneysResponse;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
DemApi apiInstance = new DemApi(defaultClient);
try {
DemSearchInferredJourneysResponse result = apiInstance.searchInferredJourneys();
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling DemApi#searchInferredJourneys");
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""""
Search inferred DEM journeys returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.dem_api import DEMApi
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = DEMApi(api_client)
response = api_instance.search_inferred_journeys()
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"# Search inferred DEM journeys returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::DEMAPI.new
p api_instance.search_inferred_journeys()
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"// Search inferred DEM journeys returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_dem::SearchInferredJourneysOptionalParams;
use datadog_api_client::datadogV2::api_dem::DEMAPI;
#[tokio::main]
async fn main() {
let configuration = datadog::Configuration::new();
let api = DEMAPI::with_config(configuration);
let resp = api
.search_inferred_journeys(SearchInferredJourneysOptionalParams::default())
.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/**
* Search inferred DEM journeys 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.DEMApi(configuration);
apiInstance
.searchInferredJourneys()
.then((data: v2.DemSearchInferredJourneysResponse) => {
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"