~/talk

Uber's Failover Architecture: Reconciling Reliability and Efficiency in Hyperscale...

on YouTube 20m
Talkat NSDI '26 · 2026-05-04..05-06· [microservices, software-architecture]

speakers

name:Mayank Bansal
links:none on file
name:Milind Chabbi
links:none on file
name:Kenneth Sejdenfaden Bøgh
links:none on file
name:Srikanth Prodduturi
links:none on file
name:Kevin Xu
links:none on file
name:Amit Kumar
links:none on file
name:David Bell
links:none on file
name:Ranjib Dey
links:none on file
name:Yufei Ren
links:none on file
name:Sachin Sharma
x:ssharma2211
name:Juan Marcano
links:none on file
name:Shriniket Kale
links:none on file
name:Subhav Pradhan
links:none on file
name:Ivan Beschastnikh
bluesky:cs.ubc.ca
name:Miguel Covarrubias
links:none on file
name:Chien-Chih Liao
links:none on file
name:Sandeep Koushik Sheshadri
links:none on file
name:Wen Luo
links:none on file
name:Kai Song
links:none on file
name:Ashish Samant
links:none on file
name:Sahil Rihan
links:none on file
name:Nimish Sheth
links:none on file
name:Albert Greenberg
links:none on file
name:Uday Kiran Medisetty
links:none on file

resources

video:https://youtu.be/DLdPcDX6VhY
slides:none on file

summary

Claims a shift from uniform 2× regional provisioning to a differentiated model that cuts steady‑state from 2× to 1.3×, raises utilization from ~20% to ~30%, and sustains ~99.97% availability; deploys automated orchestration and safeguards — Outage Mitigator (OMG) for parallel failover steps, Kraken for prefetching images, RPC shield plus a canary regression gate to eliminate fail‑close dependencies; hardens ~4,000 unsafe dependencies, reclaims ~575K cores (projected >1M from ~4M), and restores full capacity in ~7 minutes with steady state reached in ~20–30 minutes.

AI-written summary · about

chapters (11)

  1. 0:00Uber's failover architecture
  2. 1:21Dual-region active-active challenges
  3. 3:07Failover goals and tiers
  4. 6:38Outage Mitigator and Kraken
  5. 9:11Image pre-fetching and migration
  6. 11:22Resource borrowing and buffer
  7. 13:04Eliminating fail-close dependencies
  8. 14:51Testing and regression systems
  9. 16:16Real-world failover results
  10. 17:39Error rates and utilization impact
  11. 18:41Lessons learned and future

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