Rab Ne Bana Di Jodi - Why Platforms & AI Need Each Other
summary
Platform teams spend years building golden paths—5 engineers for 100 services—and an AI agent now writes identical configs in 30 seconds, then multiplies workload: managing 5 LLMs across 200 services. Demonstrates real tooling: Goose, Kubeflow, Kato, Kittops, Carpenter, Fluid, Volcano, Argo and CNCF AI Conformance. Shows enforcement by admission controllers and observability needs, and exposes critical gaps: no model lifecycle management, no agent audit trails, no cost control APIs, and practical strategies for deprecating models, isolating agents and controlling sprawl.
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chapters (10)
- 0:00Introduction
- 1:50Platforms and containers evolution
- 5:41Platform engineering in Kubernetes
- 12:55AI impact on YAML
- 16:32AI transforming deployment workflows
- 18:45Cloud native and AI risk
- 19:28Platforms remain essential
- 21:14AI and platforms inseparable
- 26:10App and platform teams dynamic
- 29:22Closing remarks
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