TypeScript icon, indicating that this package has built-in type declarations

    4.67.0 • Public • Published


    build Code Coverage NPM Slack License

    Datadog Lambda Library for Node.js (12.x and 14.x) enables enhanced Lambda metrics, distributed tracing, and custom metric submission from AWS Lambda functions.


    Follow the installation instructions, and view your function's enhanced metrics, traces and logs in Datadog.

    Custom Metrics

    Once installed, you should be able to submit custom metrics from your Lambda function.

    Check out the instructions for submitting custom metrics from AWS Lambda functions.


    Once installed, you should be able to view your function's traces in Datadog.

    For additional details on trace collection, take a look at collecting traces from AWS Lambda functions.

    For additional details on trace and log connection, check out the official documentation for Datadog trace client.


    The fs module is disabled by default. If you want to enable it you have to set the environment variable DD_TRACE_DISABLED_PLUGINS to '' or to a comma-separated list of the plugins you want to disable. See the full list of supported plugins here.

    Tracer Initialization

    By default, the Datadog Lambda library automatically initializes the tracer. However, you can follow the steps below to initialize the tracer with custom settings in your own function code.

    1. Set enviornment variable DD_TRACE_ENABLED to false, so the Datadog Lambda library does not initialize the tracer.
    2. Add the following snippet to the function code to manually initialize the tracer with your desired settings.
      const tracer = require('dd-trace').init({
        enabled: true,
        tags: {
          "_dd.origin": "lambda",
        sampleRate: 0.1 // e.g., keep 10% of traces

    Trace & Log Correlation

    By default, the Datadog trace id gets automatically injected into the logs for correlation, if using console or a logging library supported for automatic trace id injection. You have to manually inject the trace id, if using other logging libraries. See additional details on connecting logs and traces.

    Set the environment variable DD_LOGS_INJECTION to false to disable this feature.

    Handler wrapper

    In order to instrument individual invocations, the Datadog Lambda library needs to wrap around your Lambda handler function. This is usually achieved by pointing your function's handler setting to the provided Datadog handler function and passing the original handler function through an environment variable to be called by the Datadog handler.

    If this method doesn't work for you, instead of overriding the handler and setting the DD_LAMBDA_HANDLER environment variable, you can apply the Datadog Lambda library wrapper in your function code like below:

    const { datadog } = require("datadog-lambda-js");
    const tracer = require('dd-trace').init({});
    module.exports.myHandler = datadog(myHandler, {
      // my function code

    Custom logger

    You can use your own logger to log layer error and debug logs instead of default console usage.

    For example, using the Pino logger:

    const { datadog } = require("datadog-lambda-js");
    const logger = require("pino")();
    // convert message string to object metadata and message
    const messageToObject = (stringMessage) => {
      const { message, status, ...metadata } = JSON.parse(stringMessage);
      return [metadata, message];
    async function myHandler(event, context) {
      // ...
    // Use your own logger
    module.exports.myHandler = datadog(myHandler, {
      logger: {
        debug: (message) => logger.debug(...messageToObject(message)),
        error: (message) => logger.error(...messageToObject(message)),

    Environment Variables


    Set to true (recommended) to send custom metrics asynchronously (with no added latency to your Lambda function executions) through CloudWatch Logs with the help of Datadog Forwarder. Defaults to false. If set to false, you also need to set DD_API_KEY and DD_SITE.


    If DD_FLUSH_TO_LOG is set to false (not recommended), the Datadog API Key must be defined by setting one of the following environment variables:

    • DD_API_KEY - the Datadog API Key in plain-text, NOT recommended
    • DD_KMS_API_KEY - the KMS-encrypted API Key, requires the kms:Decrypt permission


    If DD_FLUSH_TO_LOG is set to false (not recommended), you must set DD_SITE. Possible values are,,,, and The default is


    Set to debug enable debug logs from the Datadog Lambda Library. Defaults to info.


    Generate enhanced Datadog Lambda integration metrics, such as, aws.lambda.enhanced.invocations and aws.lambda.enhanced.errors. Defaults to true.


    Location of your original Lambda handler.


    Initialize the Datadog tracer when set to true. Defaults to false.


    Inject Datadog trace id into logs for correlation. Defaults to true.


    Set to true to merge the X-Ray trace and the Datadog trace, when using both the X-Ray and Datadog tracing. Defaults to false.

    Opening Issues

    If you encounter a bug with this package, we want to hear about it. Before opening a new issue, search the existing issues to avoid duplicates.

    When opening an issue, include the Datadog Lambda Layer version, Node version, and stack trace if available. In addition, include the steps to reproduce when appropriate.

    You can also open an issue for a feature request.


    If you find an issue with this package and have a fix, please feel free to open a pull request following the procedures.


    For product feedback and questions, join the #serverless channel in the Datadog community on Slack.


    Unless explicitly stated otherwise all files in this repository are licensed under the Apache License Version 2.0.

    This product includes software developed at Datadog ( Copyright 2019 Datadog, Inc.




    npm i datadog-lambda-js

    DownloadsWeekly Downloads






    Unpacked Size

    346 kB

    Total Files


    Last publish


    • datadog