~/talk

Far from the Shallows: The Value of Deeper Incident Analysis

Talkat SREcon23 Americas · 2023-03-21..03-23· [observability]
slides:none on file

A claim: shallow metrics mislead — histograms from over 10,000 public reports in VOID (Verica Open Incident Database) show heavily skewed durations so that mean time to recover is misleading and duration doesn’t correlate with assigned severity; root‑cause labels flatten system causality. The work shows qualitative artifacts — incident stories, near‑miss analyses, a rotating incident commander program, and examples like trading disk buffer for tiered storage (losing ~20h replay) — that reveal safety boundaries and pockets of expertise.

AI-written summary · about

  1. 0:00Deeper incident analysis intro
  2. 1:33Beyond shallow metrics
  3. 13:22From metrics to incident stories
  4. 22:52Safety boundaries explored
  5. 31:04Near misses and averted incidents
  6. 36:00Community via incident stories
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