Serverless is a concept where you write event-driven code and upload it to a cloud provider, which manages all of the underlying computational resources. Datadog Serverless brings together metrics, traces, and logs from your AWS Lambda functions running serverless applications into one view.

Make sure to check out discussions going on in the #serverless channel in the Datadog Slack community.

Getting started

  1. Install the AWS integration. This allows Datadog to ingest Lambda metrics from AWS CloudWatch.
  2. Install the Datadog Forwarder Lambda function, which is required for ingestion of AWS Lambda traces, enhanced metrics, custom metrics, and logs. Note: Skip this step if you already have the forwarder function installed as part of the AWS integration CloudFormation stack.
  3. Instrument your application. Select the Lambda runtime below for instructions to instrument your serverless application.

Other services

Azure App Service

The Datadog extension for Azure App Service provides tracing capabilities for Azure Web Apps. For more information setting up tracing in Azure, see the Azure App Service Extension documentation.

Google Cloud Functions

Google Cloud Functions is a lightweight, event-based, asynchronous compute solution that allows you to create small, single-purpose functions. To monitor serverless functions running on Google Cloud Platform, enable the Google Cloud Platform integration.

Further Reading