AI-Augmented DevOps with Platform Engineering
summary
Claims a working cybernetic delivery platform built with a private bank in Likenstein, showing 461 users, 15 partners and 13 Kubernetes clusters running, plus onboarding and offboarding in seconds and product launches to production in about 15 minutes. Uses GitLab/GitHub integration, repository and container scanning, secret detection, Grafana/Prometos observability, an internal developer portal instead of Backstage, a model hub/vector DB/prompt tooling for governed on‑prem AI, and recommends platform teams once ~5 product teams (≈50 people) exist.
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chapters (14)
- 0:00Cybernetic enterprise vision
- 1:11Speaker background
- 3:40Debunking AI hype
- 6:13AI investment gap
- 9:33AI won't fix processes
- 11:03Cybernetic platform engineering
- 14:03Platform engineering myths
- 16:34Proof platform engineering works
- 18:57Floating platform architecture
- 21:25Platform from ideation to production
- 24:01AI in cybernetic platforms
- 26:11Live cybernetic platform demo
- 35:20Future of DevOps
- 37:53Q&A
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