~/talk

Keynote: Kubernetes at GitHub

slides:none on file

GitHub runs 20% of production services on on‑prem Kubernetes, including github.com, using multiple clusters each with roughly 1,500 CPUs and 5 TB RAM per cluster and seven node types (preferred nodes: 40 CPU threads, 128 GB RAM, 2 local SSDs). Operational tooling includes node problem healer, cube‑tesla, cube‑health‑proxy, a kubectl chat wrapper and a gob load balancer, and a canary deploy workflow that routes a small fraction of traffic for safety; persistent local volumes are next.

AI-written summary · about

  1. 0:00The road to kubernetes
  2. 2:58Embracing kubernetes
  3. 4:36Infrastructure and scaling
  4. 5:57Data center automation
  5. 7:13Production workload design
  6. 8:49Networking and load balancing
  7. 9:16Operational tooling
  8. 10:49Deployment flow
  9. 12:48Review lab environments
  10. 14:12Canary deployments
  11. 16:16Standardization benefits
  12. 17:27Future goals
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