Docker for Beginners: From Zero to Containerized Applications

Stop Fighting "It Works on My Machine" - Master Docker From Zero to ProductionIf you've ever spent an afternoon debugging why your app runs perfectly on your laptop but crashes on a teammate's machine (or in production), this book is for you.Docker for Beginners is a complete, hands-on guide that takes you from installing Docker for the first time to confidently containerizing, deploying, and troubleshooting real applications - no prior DevOps experience required.You'll learn how to: - Understand the core mental model: images vs. containers, layers, and caching- Write efficient Dockerfiles and avoid the mistakes that bloat your images- Manage data with volumes and bind mounts without losing your sanity- Connect containers with Docker networking - and make sense of it- Orchestrate multi-container apps with Docker Compose (including profiles, scaling, and multiple environments)- Debug and troubleshoot containers like a pro- Push, pull, and manage images on Docker Hub and private registries- Lock down your containers with practical security basics- Optimize images for lean, fast production deployments- Containerize real-world stacks - Python, Go, databases, and more- Set up CI/CD pipelines, logging, monitoring, and testing for containerized apps- Deploy to a real server and get a first taste of orchestration with Docker Swarm- Migrate an existing, non-containerized application into Docker step by stepEach chapter builds on the last with clear explanations, real commands, and practical examples - not just theory. A full command reference, Dockerfile/Compose cheat sheet, troubleshooting guide, and glossary are included as appendices, so this book doubles as a reference you'll keep coming back to.Whether you're a developer, a student, or an IT professional looking to finally get Docker, this book will take you from "what even is a container?" to running production-ready, containerized applications with confidence.Scroll up and grab your copy today - and stop saying "it works on my machine."