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10 entries
Phase 7: take it to production — 12-factor config, multi-stage Docker images and PID 1 signals, Docker Compose, PM2 vs Kubernetes, health checks and zero-downtime deploys, a CI/CD pipeline with GitHub Actions, and nginx + TLS.
Tie it together: a complete real-world config (SPA + API proxy + cache + TLS), reusable includes, Docker & Compose deploy, worker tuning, a debugging cheat-sheet for the errors you will actually hit, and a capstone project.
The debugging playbook: read logs, exec in, inspect, events and stats — then a field guide to the errors you will actually hit (port in use, exit codes, OOMKilled, ImagePullBackOff, cache, networking) and how to resolve each.
Make images small, fast, and safe: slim and distroless bases, layer-cache discipline, multi-stage recap, running as a non-root user, handling secrets properly, .dockerignore, and image scanning.
Level up Compose: env files and variable interpolation, healthchecks with depends_on condition, profiles for optional services, multiple compose files / overrides, and scaling services.
Run multi-container apps with one file and one command. The compose.yaml model: services, build vs image, ports, volumes, networks, depends_on, and the everyday compose workflow.
How containers talk: the default bridge vs user-defined networks, automatic DNS by container name, publishing vs exposing ports, and wiring an app container to a database container.
Containers are ephemeral — so where does data live? Named volumes vs bind mounts vs tmpfs, persisting a database, mounting source code for live dev, and managing env vars and secrets safely.
Stop using other people's images and build your own: Dockerfile instructions, how layers and the build cache work, multi-stage builds for tiny images, .dockerignore, and tagging.
Start Docker from zero: what a container really is (vs a VM), how images and layers work, the core docker run workflow, and your first hands-on container — with exercises to drill the commands.