~/talk

Load is not what you should balance: Introducing Prequal

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PReQuaL is a load balancer that actively probes servers and uses the power-of-d-choices with asynchronous reusable probes to pick based on estimated latency and requests-in-flight (RIF) rather than CPU. It keeps a probe pool (≈16 probes), typically sends 2–3 probes per query, and applies a hot/cold lexicographic selection to avoid the hottest 20% of machines. Deployed inside YouTube for >1 year, it cuts tail latency (99th reduced from ~2→1.2 normalized), lowers error rates, and saves peak RAM and CPU headroom.

AI-written summary · about

  1. 0:00Introduction to Prequel
  2. 0:15Core balancing principles
  3. 5:03Selection logic
  4. 6:16Managing the probe pool
  5. 6:44Algorithm performance
  6. 7:55CPU load and latency
  7. 8:41Optimizing algorithm parameters
  8. 10:02Comparing balancing policies
  9. 14:22Competitive analysis
  10. 14:59Conclusion
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