The power of Open.
summary
Large-scale adoption claim: Kubernetes: 77,000 contributors from 44+ countries and North American usage at about 65% cloud‑native adoption, delivering portability across on‑prem, cloud and edge. A real rollout in shipping shows 75% less time to deploy baseline services and measurable cost reductions. Remaining gaps: GPU compute costs, security model changes, and AI production failure rates (about 44% reach production and only ~1% report material ROI). Focus is on building an enterprise‑ready, open, integrated AI platform.
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chapters (13)
- 0:00Introduction
- 1:49Why open matters
- 5:41Customer priorities
- 8:54Unix to Linux history
- 11:03Cloud and Kubernetes
- 14:14Kubernetes adoption
- 16:43Cost savings with Kubernetes
- 18:31Enterprise-ready platform
- 19:59AI and open source
- 23:17Open source principles
- 25:00Open source accelerates innovation
- 25:43Commitment to open source
- 34:20Q&A
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