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Production Engineers are often pulled into incidents late with little evidence. AI SRE helps quickly understand the situation, gather evidence, and contribute effectively to incident resolution.

Workflow stages

Alert intake & triage

Challenge: Often pulled in late with little evidence How AI SRE helps:
  • Provides immediate context about the incident
  • Summarizes evidence gathered so far
  • Explains current state of investigation
  • Enables rapid onboarding to incident

Scope & impact assessment

Challenge: Asked to validate impact without runtime data How AI SRE helps:
  • Provides impact assessment from available evidence
  • Correlates available data to assess impact
  • Identifies what runtime data is missing
  • Supports impact validation with available data

Root cause investigation

Challenge: Attempts to reproduce locally How AI SRE helps:
  • Analyzes production data directly
  • Gathers evidence from production systems
  • Provides guidance on reproduction if needed
  • Focuses on production evidence, not just reproduction

Fix design

Challenge: Designs fixes based on hypotheses, not real failure states How AI SRE helps:
  • Provides evidence of actual failure states
  • Uses production data to understand failures
  • Enables fix design based on evidence
  • Validates fix design against real failure states

Deployment & verification

Challenge: Lacks direct proof fix addressed the root cause How AI SRE helps:
  • Verifies fixes address root cause
  • Provides evidence that fix worked
  • Validates fix addresses root cause
  • Provides confidence in fix effectiveness

Post-incident learning

Challenge: Knowledge remains undocumented or tribal How AI SRE helps:
  • Documents investigation automatically
  • Captures knowledge from investigation
  • Creates shareable documentation
  • Retains knowledge for future reference

Key workflows

Rapid onboarding

  1. Get pulled into incident
  2. Ask AI SRE for incident summary
  3. Get evidence and current state
  4. Understand investigation progress
  5. Contribute effectively

Evidence gathering

  1. Identify what evidence is needed
  2. Ask AI SRE to gather evidence
  3. Get evidence from available sources
  4. Fill evidence gaps
  5. Contribute to investigation

Best practices

  • Use AI SRE immediately when pulled into incident
  • Get context fast
  • Gather evidence systematically
  • Validate fixes with AI SRE
  • Document knowledge for future

Next steps