1. Using Datadog to trace AWS Lambda function calls across services.

    TypeScript

    To use Datadog to trace AWS Lambda function calls across services, you would need to ensure that your Lambda functions are instrumented with Datadog's tracing libraries and that the Datadog agent is configured to collect and report these traces. Here's a high-level overview of what you would typically need to do:

    1. Instrument your Lambda functions: You need to add the Datadog tracing library to your Lambda functions and initialize it according to Datadog's instructions for the specific runtime (e.g., Node.js, Python). This typically involves importing Datadog's tracing libraries and initializing them at the start of your Lambda handler.

    2. Enable Datadog Lambda Layer: For certain runtimes, Datadog offers a Lambda Layer that includes the Datadog tracer. You can enable this layer in your Lambda function's configuration to automatically instrument your Lambda function without modifying your code.

    3. Set up Datadog API Key: To report data back to Datadog, you need to configure your environment with your Datadog API key. This can be done securely using AWS Lambda environment variables.

    4. Configure Datadog Agents: If you have resources running on EC2 instances or ECS tasks that interact with your Lambda functions, you'll need to ensure the Datadog Agent is installed and configured on these resources to collect traces.

    Below, you'll find a Pulumi TypeScript program that sets up an AWS Lambda function with the necessary configurations for Datadog tracing. While the Pulumi Registry results provided resources for creating Datadog monitors and metric metadata, tracing requires a different set of resources and in-code instrumentation that are not controlled by infrastructure code. However, the Pulumi aws package can be used to deploy AWS infrastructure, such as Lambda functions, with Datadog tracing enabled.

    import * as aws from "@pulumi/aws"; // Configure the AWS region and Datadog API key in environment variables const awsRegion = aws.config.region; // e.g. us-east-1 const datadogApiKey = ""; // Insert your Datadog API key // Define the Lambda function with Datadog tracing const lambdaFunction = new aws.lambda.Function("MyLambdaFunction", { runtime: aws.lambda.Runtime.NodeJS12dX, // Choose the appropriate runtime code: new pulumi.asset.AssetArchive({ // You need to provide the path to your Lambda code ".": new pulumi.asset.FileArchive("./path-to-lambda-code"), }), handler: "index.handler", // Replace with your handler role: role.arn, // Ensure the role has the necessary permissions environment: { variables: { // Required environment variables for Datadog tracing DD_API_KEY: datadogApiKey, DD_LAMBDA_HANDLER: "index.handler", DD_TRACE_ENABLED: "true", DD_MERGE_XRAY_TRACES: "false", // Set to 'true' if using AWS X-Ray // Additional environment variables can be added here }, }, // Enable Datadog Lambda Layer // Get the correct layer ARN for your region and runtime from Datadog's documentation layers: ["arn:aws:lambda:YOUR_REGION:464622532012:layer:Datadog-Node12-x:24"], // Replace with the appropriate layer }); // Export the Lambda function name export const lambdaFunctionName = lambdaFunction.name;

    Here's a breakdown of what this program does:

    • It imports the necessary packages from the Pulumi AWS SDK.
    • It sets up your AWS region and Datadog API key as environment variables.
    • It defines an AWS Lambda function with the appropriate runtime and code from your application.
    • It sets up environment variables within the Lambda to enable Datadog tracing.
    • It applies a Datadog Lambda Layer, which contains the necessary tracing libraries. You need to replace "YOUR_REGION" and the version number with the specific values for your region and desired Datadog tracing version (refer to the Datadog documentation).
    • The Lambda function's role needs the right permissions to execute and interact with Datadog. Make sure to replace role.arn with the ARN of an IAM role that has the necessary policies attached.

    To apply this Pulumi program, you will need to have Pulumi installed and configure your AWS credentials. Then you can run pulumi up to create the resources.

    Once your Lambda function is deployed and the tracing is enabled, you should begin to see traces from your Lambda function calls in your Datadog dashboard. You can then link these traces across services by ensuring that each related service is similarly instrumented and traced with Datadog.


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