datadog-cdk-constructs-v2

import os from aws_cdk import App, Stack, Environment from aws_cdk import aws_lambda as _lambda from constructs import Construct from datadog_cdk_constructs_v2 import Datadog class MyDatadogStack(Stack): def __init__(self, scope: Construct, id: str, **kwargs) -> None: super().__init__(scope, id, **kwargs) # Define a simple Lambda function my_lambda = _lambda.Function( self, "MyDatadogFunction", runtime=_lambda.Runtime.PYTHON_3_9, # Python 3.9+ recommended for latest layers handler="app.handler", code=_lambda.Code.from_inline( """import json import os def handler(event, context): print('Hello from Lambda!') # Simulate some work for traces/metrics if os.environ.get('DD_TRACE_ENABLED') == 'true': import datadog_lambda.trigger return { 'statusCode': 200, 'body': json.dumps('Success') }"""), ) # Apply Datadog integration to the Lambda function datadog = Datadog(self, "Datadog", datadog_api_key=os.environ.get("DD_API_KEY", ""), # Required datadog_app_key=os.environ.get("DD_APP_KEY", ""), # Recommended for full features (e.g., custom metrics) datadog_site="datadoghq.com", # Or 'datadoghq.eu', 'us3.datadoghq.com', etc. # Optional configurations: # enable_lambda_metric_collection=True, # enable_tracing=True, # enable_forwarder=True, # For log collection # add_extension=True, # Use Datadog Lambda Extension # service="my-lambda-service", # env="prod", # version="1.0.0" ) datadog.add_lambda_functions([my_lambda]) app = App() MyDatadogStack(app, "DatadogIntegrationStack", env=Environment(account=os.environ.get("CDK_DEFAULT_ACCOUNT"), region=os.environ.get("CDK_DEFAULT_REGION")) ) app.synth()