Docker实战：构建与部署容器化应用

docker

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"Learning Docker" 是一本面向开发者、运维人员和IT专业人士的书籍，旨在介绍Docker的基础知识和实践应用，特别适合没有Docker经验的读者。本书将介绍如何使用Docker 17.03版本开发容器化应用，构建、打包和管理Docker容器，以及探索微服务架构。在本书中，读者将学习到以下关键知识点： 1. **Docker基础**：了解Docker作为一个开源容器化引擎，如何提供简单快捷的方式来开发和运行软件。Docker容器将软件包裹在一个包含所有运行所需文件系统的完整包中，使得任何应用都可以在云环境、虚拟机或专用服务器上运行。 2. **构建和部署应用**：通过实例学习如何构建并部署简单的Docker应用程序，掌握管理Docker镜像和容器的基本命令，如下载新镜像、运行容器、列出主机上的运行容器及停止它们。 3. **Dockerfile的使用**：学习如何利用Dockerfile来构建Docker镜像和容器，以实现自动化构建过程。 4. **数据共享与持久化**：理解Docker卷（volumes）功能，它是如何在Docker主机和容器之间共享数据的，同时用于持久化数据。 5. **Docker与Jenkins集成**：探讨Docker如何与持续集成工具Jenkins配合，提升自动化测试和部署的效率。 6. **容器编排**：学习使用Docker Compose进行容器编排，以管理和协调多个容器的运行。 7. **容器调试**：学习如何对Docker容器进行调试，确保应用的正常运行。 8. **安全增强**：通过AppArmor和SELinux安全模块了解如何增强Docker容器的安全性，防止未经授权的访问。 9. **常用命令**：熟悉并掌握Docker的一些常用命令，如`docker exec`、`docker ps`、`docker top`和`docker stats`，这些命令对于日常的Docker操作至关重要。本书采用逐步指导的方式，从Docker软件的安装开始，逐步深入到容器的不可穿透安全性，全面覆盖了Docker的核心特性和实用技巧。通过阅读此书，读者将能够熟练地运用Docker进行应用开发和部署，提高工作效率，并掌握容器化环境的管理与安全。

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Preface

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What this book covers

Chapter 1, Getting Started with Docker, talks about the various distinctions of the open-

source Docker platform and how it simplifies and speeds up the process of realizing

containerized workloads to be readily deployed and run on a variety of operating systems,

bare metal servers, and virtual machines. This chapter also has step-by-step details on

installing the Docker Engine, downloading a Docker image from the centralized Docker

Hub, creating a Docker container out of that image, and troubleshooting the Docker

container.

Chapter 2, Handling Docker Containers, is dedicated to clearly explaining the various

commands required to manage Docker images and containers. This chapter provides the

basic Docker terminologies needed to understand the output of Docker commands. Other

details covered here include starting an interactive session inside a container, managing

your images, running containers, and tracking changes inside containers.

Chapter 3, Building Images, describes how Docker images are built. There are several ways

and means through which Docker images are built and stored. The other important topics

covered in this chapter include a quick overview of a Dockerfile's syntax and a bit of

theoretical information on how Docker stores images.

Chapter 4, Publishing Images, tells you everything about publishing images on the

centralized Docker Hub and how to get the most out of Docker Hub. The other important

contents in the chapter include more details about Docker Hub, how to push images to

Docker Hub, the automatic building of images, how to create organizations on Docker Hub,

and finally private repositories.

Chapter 5, Running Your Private Docker Infrastructure, explains how corporates can set up

and run their own private repositories. There are a few valid reasons why corporates want

to have their own repositories to host some crucial Docker images. This means that publicly

available repositories are found unsuitable for storing certain specific images. This chapter

has all the information required to set up and sustain private repositories.

Chapter 6, Running Services in a Container, illustrates how a web application can be run

inside a Docker container as a service and how to expose the service, in order for the

outside world to find and access it. How the appropriate Dockerfile is developed to simplify

this task is also described in detail.

Chapter 7, Sharing Data with Containers, shows you how to use Docker's volumes feature to

share data between the Docker host and its containers. The other topics covered here are

how to share data between containers, the common use cases, and the typical pitfalls to

avoid.

Preface

[ 3 ]

Chapter 8, Orchestrating Containers, explains how to do the orchestration of multiple

containers towards composite and containerized workloads. It is a well-known truth that

orchestration plays a major role in producing composite applications. This chapter includes

relevant details about the orchestration process and the toolset made available for enabling

the process of orchestration. Finally, you will find a well-orchestrated example of how

containers can be orchestrated to bring forth highly reusable and business-aware containers.

Chapter 9, Testing with Docker, focuses on testing your code inside Docker images. You will

also find out how to run tests inside an ad hoc Docker image. Finally, you will be given

details of how to integrate Docker testing into a continuous integration server such as

Jenkins.

Chapter 10, Debugging Containers, teaches you how to debug applications running inside

containers. How Docker ensures that processes running inside containers are isolated from

the outside world is also covered.

Chapter 11, Securing Docker Containers, explains the security and privacy challenges and

concerns, and how they are addressed through the liberal use of competent standards,

technologies, and tools. This chapter covers the mechanism for dropping user privileges

once inside an image. There is also a brief introduction to how the security capabilities

introduced in SELinux come in handy when securing Docker containers.

Chapter 12, The Docker Platform – Distinct Capabilities and Use Cases, describes how the

Docker platform is becoming an enterprise-grade method for bringing forth a variety of

distinct automation in the fields of software engineering and distributed computing. Several

industry case studies are included in this chapter in order to address any worries about

Docker and to enhance its penetration and participation.

What you need for this book

You need Ubuntu 16.04 to run the examples covered in this book.

Who this book is for

This book is ideal for developers, operations managers, and IT professionals who would

like to learn about Docker and use it to build and deploy container-based applications. No

prior knowledge of Docker is expected.

Preface
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