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AWS shows how to automate remediation with DevOps Agent and Lambda

AWS has published a technical guide demonstrating how to extend its DevOps Agent capabilities by automating the remediation phase of incident response. The solution combines AWS Lambda Durable Functions, Amazon EventBridge, and Amazon Bedrock to create a workflow that takes root cause analysis from the DevOps Agent and turns it into actionable fixes.

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Key points

  • AWS demonstrates a workflow using Lambda Durable Functions and Bedrock to automate post-investigation remediation.
  • The system runs read-only diagnostics autonomously but requires human approval for any infrastructure changes.
  • Amazon Bedrock selects actions from a curated allowlist of Lambda tools to ensure safety and auditability.

The architecture uses an agentic loop where Amazon Bedrock analyzes investigation summaries and selects remediation tools from a curated allowlist. Read-only actions, such as retrieving configuration data, run autonomously. However, any mutating changes to infrastructure trigger a suspension in the durable function, waiting for explicit human approval before proceeding. This design ensures that while diagnosis and preparation are automated, final changes to production resources remain under human control.

The post includes a step-by-step deployment using AWS CDK and a simulated incident involving a Lambda function timeout. It highlights how this approach reduces mean time to resolution (MTTR) by preparing pre-validated fixes for single-click approval, allowing on-call engineers to focus on verification rather than repetitive diagnostic tasks.

The story so far

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Full story from AWS Machine Learning Blog · by Michele Scarimbolo primary sourceOpen source ↗

Automate remediation post AWS DevOps Agent investigation

AWS Machine Learning Blog · 7 October 2026

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This text was published by AWS Machine Learning Blog and written by Michele Scarimbolo. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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