The Container Operator's Manual
summary
Production experience includes running containers since 2015, Dockerizing Cassandra and operating a Kubernetes platform for GitHub, and that leads to four concrete lessons: containers excel for stateless apps because they offer portability, faster upgrades, simpler disaster recovery and cheaper testing; they struggle with containerized databases — network-backed volumes become network‑bound and host-mounted volumes require custom tooling — projects like Vitess try to help; a realistic rollout takes about a year to roll out and needs a team of 6–8 people with ops, networking, security, tooling and PM skills.
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chapters (8)
- 0:00Introduction
- 2:58Dispelling container myths
- 6:12What containers actually are
- 9:38Strengths and use cases
- 15:55Stateful apps and databases
- 22:34Building the platform
- 27:24Required team skills
- 34:31Conclusion and Q&A
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25mAre Containers Ready for Production Databases?
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43mContainers Change Everything
46mAround & After Kubernetes: The Principles and Ideas that Guide Us
47mFrom a Database in Container to DBaaS on Kubernetes
