Docker on Windows Front Cover

Docker on Windows

  • Length: 358 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2017-07-13
  • ISBN-10: B0711Y4J9K
  • Sales Rank: #331760 (See Top 100 Books)
Description

Learn how to run new and old Windows applications in Docker containers.

About This Book

  • Package traditional .NET Frameworks apps and new .NET Core apps as Docker images, and run them in containers for increased efficiency, portability, and security
  • Design and implement distributed applications that run across connected containers, using enterprise-grade open source software from public Docker images
  • Build a full Continuous Deployment pipeline for a .NET Framework application, and deploy it to a highly-available Docker swarm running in the cloud

Who This Book Is For

If you want to modernize an old monolithic application without rewriting it, smooth the deployment to production, or move to DevOps or the cloud, then Docker is the enabler for you. This book gives you a solid grounding in Docker so you can confidently approach all of these scenarios.

What You Will Learn

  • Comprehend key Docker concepts: images, containers, registries, and swarms
  • Run Docker on Windows 10, Windows Server 2016, and in the cloud
  • Deploy and monitor distributed solutions across multiple Docker containers
  • Run containers with high availability and fail-over with Docker Swarm
  • Master security in-depth with the Docker platform, making your apps more secure
  • Build a Continuous Deployment pipeline by running Jenkins in Docker
  • Debug applications running in Docker containers using Visual Studio
  • Plan the adoption of Docker in your own organization

In Detail

Docker is a platform for running server applications in lightweight units called containers. You can run Docker on Windows Server 2016 and Windows 10, and run your existing apps in containers to get significant improvements in efficiency, security, and portability.

This book teaches you all you need to know about Docker on Windows, from 101 to deploying highly-available workloads in production. This book takes you on a Docker journey, starting with the key concepts and simple examples of how to run .NET Framework and .NET Core apps in Windows Docker containers. Then it moves on to more complex examples—using Docker to modernize the architecture and development of traditional ASP.NET and SQL Server apps.

The examples show you how to break up monoliths into distributed apps and deploy them to a clustered environment in the cloud, using the exact same artifacts you use to run them locally. To help you move confidently to production, it then explains Docker security, and the management and support options.

The book finishes with guidance on getting started with Docker in your own projects, together with some real-world case studies for Docker implementations, from small-scale on-premises apps to very large-scale apps running on Azure.

Style and approach

Using a step-by-step approach, this book shows you how to use Docker on Windows. It includes practical examples and real-world technical and business scenarios that will help you effectively implement Docker in your environment.There are over 50 examples of Dockerized applications, using C# .NET projects as the source and packaging them into Docker images.

Table of Contents

Chapter 1. Getting Started with Docker on Windows
Chapter 2. Packaging and Running Applications as Docker Containers
Chapter 3. Developing Dockerized .NET and .NET Core Applications
Chapter 4. Pushing and Pulling Images from Docker Registries
Chapter 5. Adopting Container-First Solution Design
Chapter 6. Organizing Distributed Solutions with Docker Compose
Chapter 7. Orchestrating Distributed Solutions with Docker Swarm
Chapter 8. Administering and Monitoring Dockerized Solutions
Chapter 9. Understanding the Security Risks and Benefits of Docker
Chapter 10. Powering a Continuous Deployment Pipeline with Docker
Chapter 11. Debugging and Instrumenting Application Containers
Chapter 12. Containerize What You Know – Guidance for Implementing Docker

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