AI-Augmented DevOps with Platform Engineering
summary
Claims a shift from “AI first” to a cybernetic enterprise that ties processes organization technology governance and AI into feedback loops; demonstrates a built cybernetic delivery platform (used with a private bank) that runs 461 users 15 partners 26 spaces 13 Kubernetes clusters, enforces platform‑wide CI/CD scans and container analysis, offers observability via Grafana/Prometheus, a custom internal developer portal (not Backstage), a model hub and vector DB, an on‑prem chatbot and AI-assisted Dockerfile analysis, and yields 15‑minute app spinup with CISO approval.
AI-written summary · about
chapters (12)
- 0:00AI and cybernetic future
- 3:40AI replacing developers
- 5:07AI investment gap
- 9:33AI won’t fix processes
- 11:03Cybernetic platform foundation
- 13:41Platform engineering myths
- 16:34Platform engineering in practice
- 21:25Floating platforms and tools
- 24:01AI in cybernetic platforms
- 26:11Live cybernetic demo
- 35:24Cybernetic factory vision
- 37:53Q&A
related talks
40mAI-Augmented DevOps with Platform Engineering
25mAI for Platform Engineering
17mAI-Driven Platform Engineering
30mAI-Augmented DevOps with Platform Engineering
28mAI for Everything After Code
12mAI-Driven Platform Engineering
24mPlatform Engineering and AI - Two Buzzwords Finally Meet!
44mBeyond Metrics: Orchestrating Developer Delight with AI driven Platform Engineering
