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  • Book Overview & Buying Mastering Docker on Windows
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Mastering Docker on Windows

Mastering Docker on Windows

By : Michael D. Smith
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Mastering Docker on Windows

Mastering Docker on Windows

By: Michael D. Smith

Overview of this book

Mastering Docker on Windows is your comprehensive guide to deploying, securing, and scaling containers in enterprise-grade Windows environments. Tailored for developers, DevOps engineers, and IT professionals, this book dives deep into Docker’s advanced features, focusing on Windows 11. Starting with installation and setup, you’ll learn how to manage images, networks, and volumes on Windows. The book explores multi-container orchestration with Docker Compose, container security best practices, and performance optimization techniques to ensure your applications run efficiently and securely in production. You’ll also explore advanced topics such as running Docker in hybrid cloud environments and deploying AI/ML models using the Docker GenAI stack. Through practical examples and step-by-step tutorials, you’ll gain the skills to troubleshoot, monitor, and fine-tune Docker environments at scale. Throughout the book, you’ll build and evolve a small but realistic application stack that carries across chapters. Whether you're modernizing enterprise Windows workloads or building scalable, cloud-native applications, this book provides hands-on strategies and expert insights to help you master Docker on Windows. It’s ideal for readers with basic Docker experience who want to elevate their skills for real-world, enterprise success.
Table of Contents (17 chapters)
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1
Part 1: Getting Started with Docker on Windows 11
5
Part 2: Advanced Docker Techniques on Windows
10
Part 3: Docker in Real-World Use Cases
15
Other Books You May Enjoy
16
Index

7

Docker GenAI Stack on Windows

There was a point recently when I was experimenting with a handful of GenAI models locally. I had a summarizer in one container, an embedding model in another, and a tiny vector store in yet another. Now, it sounds like chaos, but initially, it all felt streamlined and elegant. But as soon as I hooked in a chatbot frontend and scaled a second summarizer container, things began to fall apart. Containers were talking past one another, performance fluctuated, and data consistency became a nightmare. So, I did what most senior engineers would do in that situation: I went for a walk to clear my head. After a while, I realized that deploying GenAI locally isn't just about spinning up a single model; it's about managing a stack. I was thinking about it as a shiny new toy to play with instead of a stack of software like I'd deployed hundreds of times before. And that's precisely what we'll tackle in this part of the book: understanding...

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Mastering Docker on Windows
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