Phase 7: Production Observability & Incident Response · 45 min · Langfuse · Arize Phoenix · Python
Incident Response Playbook
There's rarely one broken line of code to fix. There's a distribution that shifted, and the postmortem's job is turning that into a permanent test, not just a closed ticket.
Real-world application: Explaining why an LLM incident's postmortem produces a permanent golden-set entry, not just a closed ticket, is the specific practice that shows you understand LLM failures as distributional, not single-bug, problems.
What you will learn
- Explain why LLM incidents are often distributional failures with multiple interacting causes, unlike a typical API bug
- Walk an incident through the six-stage playbook: detect, triage, contain, eval, fix, review
- Explain why the eval stage needs to target the specific failure mode discovered, not a generic test
- Turn a postmortem's failure case into a permanent golden-set regression entry
Introduction
Incident Response Playbook
Objective
Enforce the six incident playbook stages in strict order and append the resolved incident's failure case to a persistent golden-set file at the review stage.
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