Create AWS on demand task
https://api.datadoghq.com/api/v2/agentless_scanning/ondemand/awshttps://api.us3.datadoghq.com/api/v2/agentless_scanning/ondemand/awshttps://api.us5.datadoghq.com/api/v2/agentless_scanning/ondemand/awshttps://api.datadoghq.eu/api/v2/agentless_scanning/ondemand/awshttps://api.ap1.datadoghq.com/api/v2/agentless_scanning/ondemand/awshttps://api.ap2.datadoghq.com/api/v2/agentless_scanning/ondemand/awshttps://api.uk1.datadoghq.com/api/v2/agentless_scanning/ondemand/awshttps://api.ddog-gov.com/api/v2/agentless_scanning/ondemand/awshttps://api.us2.ddog-gov.com/api/v2/agentless_scanning/ondemand/awsOverview
Trigger the scan of an AWS resource with a high priority. Agentless scanning must be activated for the AWS account containing the resource to scan.
OAuth apps require the org_management authorization scope to access this endpoint.
Request
Body Data (required)
The definition of the on demand task.
data [required]Object for a single AWS on demand task.
attributes [required]Attributes for the AWS on demand task.
arn [required]The arn of the resource to scan. Agentless supports the scan of EC2 instances, lambda functions, AMI, ECR, RDS and S3 buckets.
type [required]The type of the on demand task. The value should always be aws_resource.
aws_resourceaws_resource{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}Response
AWS on demand task created successfully.
Response object that includes an AWS on demand task.
dataSingle AWS on demand task.
attributesAttributes for the AWS on demand task.
arnThe arn of the resource to scan.
assigned_atSpecifies the assignment timestamp if the task has been already assigned to a scanner.
created_atThe task submission timestamp.
statusIndicates the status of the task. QUEUED: the task has been submitted successfully and the resource has not been assigned to a scanner yet. ASSIGNED: the task has been assigned. ABORTED: the scan has been aborted after a period of time due to technical reasons, such as resource not found, insufficient permissions, or the absence of a configured scanner.
idThe UUID of the task.
typeThe type of the on demand task. The value should always be aws_resource.
aws_resourceaws_resource{
"data": {
"attributes": {
"arn": "arn:aws:ec2:us-east-1:727000456123:instance/i-0eabb50529b67a1ba",
"assigned_at": "2025-02-11T18:25:04.550564Z",
"created_at": "2025-02-11T18:13:24.576915Z",
"status": "QUEUED"
},
"id": "6d09294c-9ad9-42fd-a759-a0c1599b4828",
"type": "aws_resource"
}
}Bad Request
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Not Authorized
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"
]
}Code Example
# 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/agentless_scanning/ondemand/aws" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/agentless_scanning/ondemand/aws" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/agentless_scanning/ondemand/aws" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/agentless_scanning/ondemand/aws" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/agentless_scanning/ondemand/aws" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/agentless_scanning/ondemand/aws" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/agentless_scanning/ondemand/aws" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/agentless_scanning/ondemand/aws" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/agentless_scanning/ondemand/aws" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"arn": "arn:aws:lambda:us-west-2:123456789012:function:my-function"
},
"type": "aws_resource"
}
}
EOF// Create AWS on demand task returns "AWS on demand task created successfully." 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() {
body := datadogV2.AwsOnDemandCreateRequest{
Data: datadogV2.AwsOnDemandCreateData{
Attributes: datadogV2.AwsOnDemandCreateAttributes{
Arn: "arn:aws:lambda:us-west-2:123456789012:function:my-function",
},
Type: datadogV2.AWSONDEMANDTYPE_AWS_RESOURCE,
},
}
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.NewAgentlessScanningApi(apiClient)
resp, r, err := api.CreateAwsOnDemandTask(ctx, body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `AgentlessScanningApi.CreateAwsOnDemandTask`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `AgentlessScanningApi.CreateAwsOnDemandTask`:\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"// Create AWS on demand task returns "AWS on demand task created successfully." response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.AgentlessScanningApi;
import com.datadog.api.client.v2.model.AwsOnDemandCreateAttributes;
import com.datadog.api.client.v2.model.AwsOnDemandCreateData;
import com.datadog.api.client.v2.model.AwsOnDemandCreateRequest;
import com.datadog.api.client.v2.model.AwsOnDemandResponse;
import com.datadog.api.client.v2.model.AwsOnDemandType;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
AgentlessScanningApi apiInstance = new AgentlessScanningApi(defaultClient);
AwsOnDemandCreateRequest body =
new AwsOnDemandCreateRequest()
.data(
new AwsOnDemandCreateData()
.attributes(
new AwsOnDemandCreateAttributes()
.arn("arn:aws:lambda:us-west-2:123456789012:function:my-function"))
.type(AwsOnDemandType.AWS_RESOURCE));
try {
AwsOnDemandResponse result = apiInstance.createAwsOnDemandTask(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling AgentlessScanningApi#createAwsOnDemandTask");
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""""
Create AWS on demand task returns "AWS on demand task created successfully." response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.agentless_scanning_api import AgentlessScanningApi
from datadog_api_client.v2.model.aws_on_demand_create_attributes import AwsOnDemandCreateAttributes
from datadog_api_client.v2.model.aws_on_demand_create_data import AwsOnDemandCreateData
from datadog_api_client.v2.model.aws_on_demand_create_request import AwsOnDemandCreateRequest
from datadog_api_client.v2.model.aws_on_demand_type import AwsOnDemandType
body = AwsOnDemandCreateRequest(
data=AwsOnDemandCreateData(
attributes=AwsOnDemandCreateAttributes(
arn="arn:aws:lambda:us-west-2:123456789012:function:my-function",
),
type=AwsOnDemandType.AWS_RESOURCE,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = AgentlessScanningApi(api_client)
response = api_instance.create_aws_on_demand_task(body=body)
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"# Create AWS on demand task returns "AWS on demand task created successfully." response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::AgentlessScanningAPI.new
body = DatadogAPIClient::V2::AwsOnDemandCreateRequest.new({
data: DatadogAPIClient::V2::AwsOnDemandCreateData.new({
attributes: DatadogAPIClient::V2::AwsOnDemandCreateAttributes.new({
arn: "arn:aws:lambda:us-west-2:123456789012:function:my-function",
}),
type: DatadogAPIClient::V2::AwsOnDemandType::AWS_RESOURCE,
}),
})
p api_instance.create_aws_on_demand_task(body)
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"// Create AWS on demand task returns "AWS on demand task created successfully."
// response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agentless_scanning::AgentlessScanningAPI;
use datadog_api_client::datadogV2::model::AwsOnDemandCreateAttributes;
use datadog_api_client::datadogV2::model::AwsOnDemandCreateData;
use datadog_api_client::datadogV2::model::AwsOnDemandCreateRequest;
use datadog_api_client::datadogV2::model::AwsOnDemandType;
#[tokio::main]
async fn main() {
let body = AwsOnDemandCreateRequest::new(AwsOnDemandCreateData::new(
AwsOnDemandCreateAttributes::new(
"arn:aws:lambda:us-west-2:123456789012:function:my-function".to_string(),
),
AwsOnDemandType::AWS_RESOURCE,
));
let configuration = datadog::Configuration::new();
let api = AgentlessScanningAPI::with_config(configuration);
let resp = api.create_aws_on_demand_task(body).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/**
* Create AWS on demand task returns "AWS on demand task created successfully." 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.AgentlessScanningApi(configuration);
const params: v2.AgentlessScanningApiCreateAwsOnDemandTaskRequest = {
body: {
data: {
attributes: {
arn: "arn:aws:lambda:us-west-2:123456789012:function:my-function",
},
type: "aws_resource",
},
},
};
apiInstance
.createAwsOnDemandTask(params)
.then((data: v2.AwsOnDemandResponse) => {
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"