Keynote: Scaling Kubernetes: How do we grow the *Kubernetes* user base by 10x?
summary
Claim: grow the Kubernetes user base by 10x within a year by lowering cognitive overhead and sanding rough edges. Proposals include splitting experiences for cluster operators vs cluster users, presenting a Newtonian “easy” layer that gradually exposes Einsteinian complexity, and fixing practical UX problems like kubectl run vs create, logs tied only to pods, and cryptic errors such as “failed sync” that hide missing container commands. Also push better observability, more Prometheus and fluentd integration, richer event APIs, and clearer onboarding flows.
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chapters (13)
- 0:00Intro
- 0:30Kubernetes Sucks
- 2:01Sampling Bias
- 3:01Refraction
- 4:35Error Analysis
- 7:33Standard Model
- 9:52Differentiation
- 11:11Removing friction
- 12:09Rough edges
- 13:54Remove friction
- 14:50Newton vs Einstein
- 16:36Observability
- 18:59Conclusion
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