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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
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16
Index

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

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  • Optimize GPU usage with fractional allocation, MIG, and MPS setups
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  • Secure GenAI workloads with RBAC, encryption, and service meshes
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Mastering Docker on Windows
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