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To Infinite Scale and Beyond: Operating Kubernetes Past the Steady State

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Spotify runs 280 teams and 1,500 engineers deploying about 1,200 microservices many times per day, so the operational focus is on automating frequent cluster upgrades and simplifying multi-cluster deployments. Practical patterns include soak time with rapid/regular/stable release channels, using a canary cluster and automated alerts, adopting surge upgrades up to 20 nodes or creating new node pools to speed rollouts, and a deployment stack of Tugboat + Spinnaker with Compass to map services to regions and Backstage for cross-cluster observability.

AI-written summary · about

  1. 0:00Intro
  2. 0:45Who is Jago
  3. 1:44Agenda
  4. 2:30Steady State
  5. 4:05Scaling
  6. 4:51Operational Challenges
  7. 5:10Server Lists
  8. 7:10Core Question
  9. 8:00Soak Time
  10. 9:45The Math is Not
  11. 12:45The Solution
  12. 13:18The Good News
  13. 15:50Upgrades
  14. 17:07Haunted Graveyard
  15. 19:25Automating Upgrades
  16. 20:49Config as Data
  17. 24:35Multitenant ephemeral clusters
  18. 25:02Challenges
  19. 25:57Learnings
  20. 26:51CICD Stack
  21. 27:27Compass
  22. 27:45Deployment UML
  23. 28:10Deployment Region
  24. 28:56Compass Abstraction
  25. 29:50Backstage
  26. 30:26Other techniques
  27. 31:02Building on those alternatives
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