Docker Inside/Out
summary
Company platform runs ~7,000–10,000 servers and ~1,000 users; actual usage split is 40% monoliths-in-containers, 30% front-end/back-end splits, 20% incremental service extraction, 10% full microservices. Advice is concrete: produce slim images, use multi-stage builds or the open tool Habitus to create small production artifacts, keep separate dev/test/prod images, avoid running core databases in containers today, and rely on orchestration (Kubernetes integration) plus logging, discovery and autoscaling to make containers stable in production.
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chapters (14)
- 0:00Introduction and speaker background
- 3:26Hero’s journey concept explained
- 7:30Artichoke model for container roles
- 9:56Containers vs virtual machines
- 12:03Building container images demo
- 14:12Creating slim and secure images
- 18:11Container usage in production data
- 20:22Components for production containers
- 23:33Integrating containers into IT
- 25:20Implementing containers in company
- 27:09Q&A on environment-specific containers
- 30:10Eco policies for container platforms
- 32:17Transitioning from app servers to Docker
- 34:35Q&A on container management
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