~/talk

Monitoring the Health of Your App

Talkat RailsConf 2013 · 2013-04-29..05-02· [observability, devops-and-delivery]
slides:none on file

Argument: averages lie — web response times are long‑tailed so 95th percentile and histograms matter. Implementation: an MVP service (Skylight) instruments Rails via notifications, subtracts GC noise (subtract GC time), and shows distribution heatmaps and endpoints ordered by importance. Surprises: many apps have one in twenty requests far slower than the mean, cache misses and GC spikes dominate slow tails. Outcome: concrete alerts from business metrics (dollars per minute, cart adds, checkouts) pinpoint which pipeline step actually breaks.

AI-written summary · about

  1. 0:00Start
  2. 8:26Mental Model
  3. 8:41Measure Business Value
  4. 9:01Measure $ Earned
  5. 9:32Compare with Historical Data
  6. 11:43Performance is Business Value
  7. 12:42Statistics 101
  8. 14:53Standard Deviation Variance
  9. 35:48TILDE
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