AWS DevOps Agent can automate end-to-end root cause analysis for distributed system failures by integrating with Datadog, Elasticsearch, and AWS CloudTrail. The setup involves configuring EKS cluster access, native Datadog integration, and a custom Python MCP server that exposes 13 Elasticsearch query tools. Datadog monitors fire webhooks directly to AWS DevOps Agent, which then autonomously correlates message IDs, trace IDs, pod metrics, and CloudTrail deployment events across all backends. A real-world scenario demonstrates how a silent 404 regression introduced by a new container image push was diagnosed to root cause in under 6 minutes — a process that previously took hours of manual cross-tool investigation.
Table of contents
Challenges in correlating telemetry signals at scalePrerequisitesSolution ArchitectureImplementation WalkthroughReal-World Investigation: Message Processing Failure Diagnosed in 6 MinutesClean-upConclusionAbout the Authors101 Impressions