Learn Docker from the basics to production-ready: environment setup, architecture & runtime (containerd/runc/OCI), image & container lifecycle, Dockerfile & multi-stage builds, volumes & storage, networking, Docker Compose, registry & image distribution, container security & scanning, observability & monitoring, Docker Swarm, Buildx/BuildKit, CI/CD integration, reverse proxy, dev containers, and production-grade deployment case studies.
Before running your first container, there is a foundation that needs to be prepared: basic Linux CLI skills (filesystem navigation, environment variables, the concepts of PID, port, and localhost) up to choosing your Docker environment and verifying the client + daemon installation.

Tracing the origins of containerization: from the bare-metal and virtual machine era, the classic "It works on my machine!" problem, the birth of Docker at the hands of Solomon Hykes (PyCon 2013), and the Linux kernel technologies that became its foundation (cgroups, namespaces, chroot) versus the virtual machine.

Dissecting the Docker client-server architecture: the Docker Client, the daemon (dockerd), and the Registry; the modern runtime stack (containerd, runc) and the role of the OCI standard; and the four core components — Image, Container, Volume, and Network — along with the flow of a command from the CLI down to runc.

First hands-on practice: running hello-world and ubuntu containers, understanding the interactive options (-i, -t, --rm, --name), managing containers with ps, stop, start, and rm, interacting via exec and logs, and port mapping to connect containers to the outside world.

Deepening your understanding of the container lifecycle: the Created, Running, Paused, Stopped, Exited, and Dead state machine along with the commands that control it; inspecting JSON metadata with docker inspect and jq, real-time monitoring with top, stats, and events, and the meaning of exit codes.

Getting to know the Dockerfile as the recipe for building images: layered architecture, the build context, base image comparison (Alpine vs Debian vs Slim), the core instructions FROM, WORKDIR, COPY, ADD, RUN, EXPOSE, and the difference between CMD and ENTRYPOINT, complete with a Node.js Dockerfile ready to build.

Going deeper into advanced Dockerfile concepts: dissecting ENV vs ARG and their scope, the USER, LABEL, and SHELL instructions for secure images, then mastering .dockerignore, layer minimization, instruction ordering, and layer caching for faster builds and leaner images.

Solving the problem of bloated images caused by build tooling being carried along: the multi-stage build technique with multiple FROM instructions, copying results between stages via COPY --from, comparing single vs multi-stage image sizes, and when to choose Alpine, Distroless, or scratch.

Facing the stateless container problem: why data disappears when a container is recreated, understanding the three types of storage mounts (bind mounts, named volumes, and tmpfs), managing volumes via the CLI, the backup-restore pattern with tar, and persistent data storage practices for production databases.

Diving into how containers communicate and stay isolated: the five Docker network drivers (bridge, host, none, macvlan/ipvlan, overlay), why a custom bridge with automatic DNS is mandatory in production, how docker0 works, port publishing via iptables, and the networking traps that frequently appear.
