Automate SageMaker HyperPod incident triage and root-cause-analysis with AWS DevOps Agent

This article describes how to integrate AWS DevOps Agent with SageMaker HyperPod clusters to automate incident triage and root-cause analysis for operational conditions requiring human intervention.

• Complements HyperPod's built-in resiliency by detecting configuration issues, capacity constraints, recurring hardware faults, and workload-level problems
• Uses two custom skills (triage and RCA) to correlate events, reconstruct incident timelines, and classify issues as Suppress, Monitor, Escalate, or Resolved
• Event-driven detection via EventBridge webhook bridge filters HyperPod events; polling-based periodic audit checks Kubernetes state every 15 minutes
• Delivers human-readable verdict emails with root cause analysis and recommended actions; operates in read-only mode with zero blast radius
• Deploys via single CloudFormation stack per cluster; extensible detection and reasoning via Lambda code and plain-English skill definitions
• Cost scales with fault volume (~$4 per investigation); healthy clusters incur only heartbeat cost (~$30-60/month)

The solution provides 24/7 autonomous incident response for large-scale GPU clusters, reducing manual triage time while maintaining operator control over corrective actions.