~/talk

Beyond the Limits: Scaling Kubernetes Controllers Horizontally

name:Tim Ebert
links:none on file
slides:none on file

Demonstrates a working sharding system that partitions controller work by injecting a shard label via a mutating webhook and tracking membership with per-instance lease objects and a controller ring CRD. Implements a separate sharder that builds a consistent hash ring, a training handover label to avoid concurrent reconciliations, and a demo web hosting operator. Tests run up to 9,000 objects and 300 changes/s across one to five instances and show near‑linear scaling with 99th‑percentile queue latency ~<1s and reconciliation <5s, with small constant overhead.

AI-written summary · about

  1. 0:00Introduction
  2. 1:24Why scaling controllers matters
  3. 3:11Controller basics and demo
  4. 5:21Leader election limitations
  5. 8:33Introducing sharding
  6. 10:24Sharding architecture
  7. 12:11Demo: sharding in action
  8. 18:57Implementing sharding
  9. 22:57Testing scalability metrics
  10. 26:10Summary and call to action
  11. 27:13Q&A
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