Docker in Practice下载

This book consists of 12 chapters divided into four parts. Part 1 lays the groundwork for the rest of the book, introducing Docker and getting you to run some basic Docker commands. In chapter 2 some time is spent getting you familiar with Docker’s client-server architecture and how to debug it, which can be useful for identifying issues with unconventional Docker setups. Part 2 focuses on familiarization with Docker and getting the most out of Docker on your own machine. An analogy with a concept you may be familiar with, virtual machines, is used as the basis for chapter 3 to provide an introduction to Docker use. Chapter 4 then details a number of Docker techniques we’ve found ourselves using every day. The final chapter in this part explores the topic of building images in more depth. Part 3 begins by looking at uses of Docker in a DevOps context, from using it for automation of software builds and tests to moving your built software to different places. This part concludes with a chapter on the Docker virtual network, introduces Docker Compose, and covers some more-advanced networking topics, like network simulation and Docker network plugins. Part 4 covers a number of topics for using Docker effectively in a production environment. It begins with chapter 9, where we survey some of the most popular tools for orchestrating containers and note what scenarios they tend to be used in. Chapter 10 addresses the important topic of security, explaining how to lock down processes running inside a container and how to restrict access to an externally exposed Docker daemon. The final two chapters go into detail on some key practical information for running Docker in production. Chapter 11 demonstrates how to apply classic sysadmin knowledge in the context of containers, from logging to resource limits, while chapter 12 looks at some problems you may encounter and provides steps for debugging and resolution. The appendixes contain details on installing, using, and configuring Docker in different ways, including inside a virtual machine and on Windows.