~/talk

Kubernetes and etcd Features That Unlocked 15k Node Clusters

slides:none on file

Kubernetes and etcd changes enable real 15,000‑node clusters: Google and Bayer run clusters with ~250k cores and 1.5 PB RAM to process ~15 billion genotypes/hour, and Twitter validated migration at that scale. Key fixes are etcd concurrent reads (etcd 3.4 reduces blocking reads), watch bookmarks (Kubernetes 1.17 lets selective watches resume without reprocessing events), EndpointSlices (Kubernetes 1.19 shards large service backends), and immutable ConfigMaps/Secrets (reduces watches). Work includes Go allocator fixes and end‑to‑end validation against SLOs.

AI-written summary · about

  1. 0:00Thank You to Our Session Recording Sponsor
  2. 0:3715k-node clusters are a thing
  3. 2:07Scalability envelope
  4. 3:03Scalability principle
  5. 3:38Focus on real users
  6. 4:49I should care, heh?
  7. 5:06Impact beyond big clusters
  8. 7:29apimachinery
  9. 8:31Networking
  10. 10:25Storage
  11. 11:30Ecosystem
  12. 12:33Anything else needed?
  13. 13:28Validating improvements Meet the SLOS
  14. 14:01Reliability & performance
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