Reflections on a decade of k8s. How it has been and what the future is holding.
summary
Kubernetes starts as a decade-old abstraction that promises eventual consistency and keeps simplifying itself — the community recently removed 1.07 million lines of cloud- and vendor-specific code. Operators become the pattern for running stateful services, with multiple Postgres operators proving databases can work on k8s. AI workloads run on Kubernetes — big firms used to train LLMs — and tooling like WebAssembly rising and Ray shape the next wave of workloads.
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chapters (11)
- 0:00Kubernetes decade reflections
- 1:03Kubernetes origins
- 3:58Docker’s container role
- 5:44Developers and microservices
- 6:50Kubernetes hardware abstraction
- 8:15Nested Kubernetes abstractions
- 9:17Kubernetes and technical debt
- 10:39Kubernetes operators
- 12:04Kubernetes as a platform
- 13:30Future Kubernetes trends
- 14:36Q&A
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