On-premise data centers do not need to be legacy
summary
Argues that private data centers match cloud economics by adopting precise practices: charge apps with fine-grained usage to reveal true cost, standardize a small set of APIs and hide clusters behind a platform, and run containers on bare-metal Kubernetes with multiple smaller clusters per site. Emphasizes end-to-end automation, immutable infrastructure and versioned deployments, and recommends open-source storage like MinIO or Ceph while avoiding broad service sprawl and costly vendor lock‑ins.
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chapters (12)
- 0:00Introduction to talk
- 1:25What is a cloud
- 3:57Lessons from public clouds
- 7:11Business model and cost control
- 9:18Avoiding vendor lock-ins
- 13:10Technology considerations
- 16:24Containers and Kubernetes
- 18:53Automation in private clouds
- 20:41Designing the private cloud
- 22:25APIs and standardization
- 24:36Workload management
- 25:58Q&A session
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