~/talk

Service Degradation at Scale: Creating Instant Capacity

Talkat Reliability @Scale Summer 2022 · on Wednesday, 2022-08-31· [devops-and-delivery]
linkedin:thotegowda
name:Yi Yu
linkedin:yy502
slides:none on file

Service degradation disables noncritical features to reclaim compute instantly, with concrete targets of 5/10/20% CPU savings for Levels 3/2/1 and validated via weekly A/B and quarterly full‑scale tests (100% production traffic) to measure system utilization and engagement impacts. A centralized "unified site degradation" orchestration picks preapproved policies to slow demand growth (used during the Oct 4 2021 outage) and lets the fleet handle multi‑data‑center failures by combining ~10% spare capacity with automated degradation to survive two‑region outages.

AI-written summary · about

  1. 0:00Service degradation intro
  2. 1:07Why service degradation program
  3. 4:56History and core values
  4. 8:08Defcon levels and testing
  5. 12:39Scaling degradation across services
  6. 17:32Lessons from Oct 4 2021 outage
  7. 21:48Unified site degradation plans
  8. 25:00Multi-region failure handling
  9. 26:02Key takeaways
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