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The Past, the Present, and the Future of Platform Engineering

Platform engineering on Kubernetes converges on a clear claim: build an API-first control plane that uses existing CNCF building blocks rather than reinventing core pieces. Examples: combine Crossplane controllers, Argo CD, Backstage and Knative scale-to-zero as blueprints; use Q and KCP for multicluster scheduling and tenancy; extend with agent layers like Dapper Agents that call LLMs via MCP. The hard problems called out are governance, observability, guardrails for agents, and translating tribal rules into machine-enforceable policies.

AI-written summary · about

  1. 0:00Platform engineering history
  2. 1:02Developer to platform builder
  3. 2:05Containers and Kubernetes
  4. 4:34Platform patterns over time
  5. 6:00Modern platform architecture
  6. 8:50Complexity in platform teams
  7. 9:53K native and serverless
  8. 11:15Dapper and API-driven infra
  9. 13:20Custom APIs and controllers
  10. 15:26Platform blueprints and tools
  11. 17:56Future platform tools
  12. 18:36AI impact on platforms
  13. 20:48Multi-cluster challenges
  14. 22:13AI agents in platforms
  15. 24:38Community in platform eng
  16. 25:41Q&A
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