Monitor AWS Lambda

AWS Lambda lets you run code without provisioning or managing servers. This deployment model is sometimes referred to as "serverless" or "Function as a Service" (FaaS).

• A Lambda function runs in an application on a container managed by AWS. This lets you focus on writing code without worrying about the underlying application or infrastructure.
• Lambda functions are ephemeral. This means that the underlying container can be suspended or recycled when there’s no request pending.
• Lambda functions can process only one request at a time. When there are n concurrent requests, n containers are created. All of this is completely transparent to the developer.

Integrations

Trace Python, Node.js, and Java Lambda functions

Trace .NET Lambda functions

Amazon Lambda metrics (built-in)

AWS Lambda log collection

Advanced monitoring

OpenTelemetry interoperability

AWS Lambda logs in context of traces

Monitoring Consumption

For AWS Lambda, monitoring consumption is based on Davis data units. See Serverless monitoring for details.

Support lifecycle

Dynatrace support for Lambda is aligned with the AWS Lambda runtimes lifecycle, which consists of two Deprecation Phases. To learn more about the Dynatrace support level for each runtime, see the table below. Once a runtime reaches Deprecation Phase 2, Dynatrace will no longer provide technical support due to the technical limitations that are in effect for functions on such runtimes.