Road Map for Docker Learning

Level 1: Containerization Fundamentals

  1. Container vs VM

    • Definitions, isolation model, performance trade-offs

    • Linux namespaces & cgroups (basic idea)

  2. Docker Architecture

    • Docker Daemon, CLI, Registry, Client-Server model

    • How images, containers, volumes, networks fit together

  3. Core Commands

    • docker run, docker ps, docker stop, docker rm, docker rmi

    • Inspecting: docker logs, docker exec, docker inspect


Level 2: Building & Packaging Images

  1. Dockerfile Basics

    • FROM, RUN, COPY / ADD, ENTRYPOINT vs CMD, WORKDIR, ENV

    • Layering & caching: how build speed & image size are affected

  2. Image Management

    • Tagging (my-app:1.0, latest), pushing & pulling from Docker Hub

    • docker build --no-cache, multi-stage builds (slim production images)

  3. Best Practices

    • Minimizing layers & attack surface (e.g. use Alpine or distroless)

    • Pinning base-image versions, cleaning up temp files in same layer


Level 3: Multi-Container Apps & Networking

  1. Docker Compose

    • docker-compose.yml format: services, volumes, networks, depends_on

    • One-command workflows: docker-compose up / down / logs

  2. Container Networking

    • Bridge, host, overlay networks

    • Port mapping (-p), linking vs user-defined networks

  3. Data Persistence

    • Volumes vs bind-mounts vs tmpfs

    • Named volumes, backup/restoration strategies


Level 4: Advanced Usage & Ecosystem

  1. Registry & CI/CD Integration

    • Private registries (Docker Hub Organizations, AWS ECR, GCR)

    • Automated builds via GitHub Actions / Jenkins pipelines

  2. Security & Hardening

    • Image scanning (Trivy, Snyk), least-privilege containers (--user)

    • Seccomp, AppArmor, user namespaces

  3. Performance & Troubleshooting

    • Diagnosing slow builds, bloated images, container resource limits (--memory, --cpus)

    • Common gotchas: DNS issues, log verbosity, zombie processes

  4. Orchestration Primer (interview talking-points)

    • Docker Swarm basics: services, stacks, overlay networking

    • When to move on to Kubernetes


How to Use This Roadmap

  • Hands-On: Build small sample apps (e.g. Spring Boot “Hello World”), containerize, link with Redis/MySQL via Compose.

  • Explain & Diagram: Draw Docker’s architecture; talk through each layer in your Dockerfile.

  • Mock Questions:

    • “What happens if you docker run --rm and the container crashes?”

    • “How does Docker cache layers, and how can you bust the cache selectively?”

    • “Compare bind mounts vs volumes. When would you use each?”

By following these levels—mastering commands and concepts first, then composing and securing multi-container systems, and finally understanding where Docker fits into CI/CD and orchestration—you’ll be ready to tackle both practical and whiteboard-style Docker questions in your interviews. Good luck!

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