Automate remediation post AWS DevOps Agent investigation

Key points

• Reducing the time between incident detection, investigation, and remediation is a critical priority for organizations running production workloads on AWS.1
• AWS DevOps Agent, an AI powered agent that autonomously triages incidents all day based on correlated metrics, logs, and application topology, addresses the first part of this priority by providing root cause analysis (RCA) and recommended actions for resolution.1
• However, to retain control and help prevent unintended changes, organizations typically keep their observability agents, including AWS DevOps Agent, in an observe-and-report mode, where the agent diagnoses issues but doesn’t modify production resources directly.1
• Figure 1: Automated remediation workflow from an AWS DevOps Agent investigation through Amazon EventBridge, AWS Lambda, and Amazon Bedrock, with optional human approval before changes reach the infrastructure1

Sources (1)

• [1]Automate remediation post AWS DevOps Agent investigation
  AWS Machine Learning Blog · Oct 7, 03:46 PM

  In this post, we demonstrate how to use AWS Lambda Durable Functions, a capability of AWS Lambda, Amazon EventBridge, and Amazon Bedrock to create an automated remediation workflow that complements AWS DevOps Agent to complete the issue resolution step.

  Reducing the time between incident detection, investigation, and remediation is a critical priority for organizations running production workloads on AWS.

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