Docker

This is an exhaustive, production-focused guide to Docker. You will learn how containers work under the hood, write production-grade Dockerfiles, optimize images for size and security, orchestrate multi-container applications with Docker Compose, and deploy to Swarm or Kubernetes.

Unlike surface-level tutorials, this masterclass dives deep into Linux namespaces, copy-on-write filesystems, layer caching internals, multi-stage build optimization, and production security hardening. Every module includes hands-on code examples you can run immediately on your local machine.

• Production-optimized Dockerfiles for Node.js, Python, Go, and Java (under 100MB)
• Complete CI/CD pipeline with GitHub Actions and Docker Buildx
• Multi-container e-commerce platform using Docker Compose with database, cache, and app
• Secure, non-root containers with health checks and proper signal handling
• Docker Swarm cluster with rolling updates, secrets management, and scaling

• Linux command line basics (cd, ls, cp, mv, grep, chmod)
• Basic understanding of networking (what ports and IP addresses are)
• At least one programming language (Node.js, Python, Go, or Java) — intermediate level
• Git and GitHub basics (clone, commit, push, pull requests)
• A code editor (VS Code recommended)

Not ready yet? Complete the Backend Architecture or Programming Core track first, then return here.

• Docker Desktop (macOS/Windows) or Docker Engine (Linux) — version 24 or later
• Git (latest version)
• Node.js 20+ / Python 3.12+ / Go 1.21+ (depending on your chosen language)
• VS Code with Docker extension (recommended)
• A Docker Hub account (free) for pushing images

• Containerize ANY application for production deployment
• Optimize Docker images to be 90% smaller using multi-stage builds
• Secure containers against common vulnerabilities (non-root, dropped capabilities, read-only fs)
• Design multi-service architectures with Docker Compose (app + db + cache + queue)
• Deploy and scale containers in production environments (Swarm or Kubernetes)
• Build complete CI/CD pipelines that test, build, scan, and deploy automatically