Managing Containers at Scale with CoreOS and Kubernetes
summary
CoreOS plus Kubernetes deploy a tiny statically linked hello world app with Redis as a helper, build a Docker image ~2–7 MB, push to a registry, and run it on a four‑node cluster. Kubernetes schedules pods, uses replication controllers to scale from 1 to 5 to 10, exposes services via nodePort 36000, supports label‑based canaries and rolling updates from 1.0 to 2.0, and the live demo mostly succeeds with pods passing liveness checks and traffic shifting without dropped requests.
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chapters (7)
- 0:00Introduction to containers
- 6:10Kubernetes core concepts
- 10:43Deploying apps to clusters
- 17:39Resource scheduling logic
- 22:22Managing scaling and quotas
- 25:44Service discovery at scale
- 30:03Canary updates and rollouts
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