Serverless platforms like AWS Lambda, Google Cloud Run, and Azure Container Apps let teams run applications without managing infrastructure. However, getting full visibility into those workloads has traditionally required a lot of manual setup. A single team may deploy serverless applications across multiple clouds by using tools such as Terraform, AWS SAM, AWS CDK, and the Serverless Framework. Each of these platforms, runtimes, and deployment tools requires its own instrumentation steps.

Datadog’s serverless agentic onboarding simplifies serverless instrumentation by adapting setup to your existing deployment tools, runtimes, and serverless platforms. You can instrument serverless applications by describing what you want in plain language to an AI assistant connected to the Datadog MCP Server, or by running a single AI Setup CLI command. The onboarding flow generates the appropriate configuration for your unique environment and prepares changes for review before they’re applied.

In this post, we’ll explain how you can use serverless agentic onboarding to:

Instrument serverless applications from an AI assistant or CLIAdapt instrumentation to your existing serverless stackReview changes with built-in safety guardrails