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Docker on Windows

By : Elton Stoneman

4.4 (14)

Buy this Book

Docker on Windows

4.4 (14)

By: Elton Stoneman

Buy this Book

Overview of this book

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.

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

Getting Started with Docker on Windows

Docker and Windows containers

Understanding the key Docker concepts

Running Docker on Windows

Learning Docker with this book

Summary

Packaging and Running Applications as Docker Containers

Running a container from an image

Building a Docker image

Packaging your own applications

Working with data in Docker images and containers

Packaging a traditional ASP.NET web app as a Docker image

Summary

Developing Dockerized .NET and .NET Core Applications

Building good citizens for Docker

Separating dependencies

Breaking up monolithic applications

Summary

Pushing and Pulling Images from Docker Registries

Understanding registries and repositories

Running a local image registry

Pushing and pulling images with a local registry

Using a commercial registry

Summary

Adopting Container-First Solution Design

Design goals for NerdDinner

Running a message queue in Docker

Starting a multi-container solution

Adding new features in containers

From monolith to distributed solution

Summary

Organizing Distributed Solutions with Docker Compose

Defining applications with Docker Compose

Managing applications with Docker Compose

Configuring application environments

Summary

Orchestrating Distributed Solutions with Docker Swarm

Creating a swarm and managing nodes

Creating and managing services in swarm mode

Deploying stacks to Docker swarm

Running Docker swarm in the cloud

Deploying updates with zero downtime

Summary

Administering and Monitoring Dockerized Solutions

Managing containers with Windows tools

Managing containers with Docker tools

CaaS with Docker EE

Summary

Understanding the Security Risks and Benefits of Docker

Understanding container security

Securing applications with secure Docker images

Securing the software supply chain with DTR

Understanding security in swarm mode

Summary

Powering a Continuous Deployment Pipeline with Docker

Designing CI/CD with Docker

Running shared development services in Docker

Configuring CI/CD using Jenkins in Docker

Deploying to a remote Docker swarm using Jenkins

Summary

Debugging and Instrumenting Application Containers

Working with Docker in integrated development environments

Instrumentation in Dockerized applications

The bug fixing workflow in Docker

Summary

Containerize What You Know - Guidance for Implementing Docker

Dockerizing what you know

Case studies for implementing Docker

Summary

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The bug fixing workflow in Docker

One of the biggest difficulties in fixing production defects is replicating them in your development environment. This is the first step in confirming that you have a bug and the starting point for drilling down to find the problem. It can also be the most time-consuming part of the problem.

Large .NET projects tend to have infrequent releases because the release process is complex, and a lot of manual testing is needed to verify the new features and check for any regressions. It's not unusual to have just three or four releases a year and for developers to find themselves having to support multiple versions of an application in different parts of the release process.

In this scenario, you may have version 1.0 in production, version 1.1 in user acceptance testing (UAT), and version 1.2 in system testing. Bugs could be raised in any of these...