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Kubernetes Wonderland: Adventures in Platform Building

Platform engineering argument: build self-service APIs that hide Kubernetes and glue open source CNCF projects so developers and data scientists don’t learn clusters. Concrete stack: KNative (scale-to-zero, 4 services in the demo), KServe for standardized inference (predictor + transformer pods), Dapr sidecars for infrastructure APIs, Istio for mesh, Kafka/Postgres/Redis for backing services, buildpacks/buildbox for images, Argo/Crossplane for orchestration. Demo repo "kubecon China 2023" runs and returns service URLs.

AI-written summary · about

  1. 0:00Kubernetes platforms intro
  2. 3:29Kubernetes adoption challenges
  3. 8:28Container and FaaS platforms
  4. 15:51Standardizing APIs for portability
  5. 20:01ML workflows on Kubernetes
  6. 25:59Inference platforms for AI
  7. 35:11Key takeaways
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