Incident response, game days and blameless postmortems
Running incidents for LLM services: severity levels, roles, a diagnosis flow for slow, wrong and failing inference, load shedding and degraded modes, game-day exercises, runbook structure and a postmortem template with an example.
14 min·Verified 2026-11Pro+50 XP
Inference services fail in characteristic ways: a node loses a GPU, a model update degrades quality quietly, a traffic spike saturates the queue, a dependency (vector database, auth, object store) stalls. Teams that handle these well do three things: they decide in advance what to do, they practise it, and they learn from each failure in writing.
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