掌握Docker：快速部署与安全优化应用

5星 · 超过95%的资源需积分: 10 165 浏览量更新于2024-07-21 1 收藏 2.13MB PDF 举报

"《学习Docker：轻松优化应用部署》是一本旨在帮助应用开发者掌握Docker技术的实用指南。本书从零开始，引导读者逐步了解和利用Docker的各种功能，包括安装、容器操作、构建镜像、在Docker Hub上发布、私有仓库管理、服务在容器内的运行、容器间的数据共享、容器编排、容器内的测试与调试以及容器安全。作者Pethuru Raj、Jeeva S. Chelladhurai和Vinod Singh以实践为导向，通过详细的步骤，让读者能够快速且高效地利用Docker简化应用容器化生命周期，创建可移植、组合、可扩展和稳定的容器环境。第一章介绍了Docker的基本入门，包括软件安装和常见问题解决技巧。第二章至第十章分别深入探讨了处理Docker容器、构建Docker镜像、发布镜像、私有Docker基础设施的搭建、服务在容器中的运行、容器间数据共享、容器编排（如Docker Compose）、容器内的应用测试和调试，以及如何使用SELinux等方法来增强容器的安全性。最后一章强调了保护Docker容器的重要性。这本教程不仅适合初次接触Docker的应用开发者，也适合希望通过学习更深入了解Docker以优化现有应用部署的专业人士。读者将掌握一系列关键技能，使他们能够在生产环境中自信地使用Docker，实现更加灵活、可靠的应用部署。同时，书中还包含了版权声明和免责声明，确保信息的准确性和责任归属问题。《学习Docker》于2015年6月首次出版，由Packt Publishing发行，旨在为读者提供最新、最全面的Docker技术知识。"

[ vii ]

Preface

We have been ddling with virtualization techniques and tools for quite a long time

now in order to establish the much-demanded software portability. The inhibiting

dependency factor between software and hardware needs to be decimated by

leveraging virtualization, a kind of benecial abstraction, through an additional layer

of indirection. The idea is to run any software on any hardware. This is achieved

by creating multiple virtual machines (VMs) out of a single physical server, with

each VM having its own operating system (OS). Through this isolation, which is

enacted through automated tools and controlled resource sharing, heterogeneous

applications are accommodated in a physical machine.

With virtualization, IT infrastructures become open, programmable, remotely

monitorable, manageable, and maintainable. Business workloads can be hosted in

appropriately-sized virtual machines and delivered to the outside world, ensuring

broader and more frequent utilization. On the other hand, for high-performance

applications, virtual machines across multiple physical machines can be readily

identied and rapidly combined to guarantee any kind of high-performance

requirement.

The virtualization paradigm has its own drawbacks. Because of the verbosity and

bloatedness (every VM carries its own operating system), VM provisioning typically

takes a while, the performance goes down due to excessive usage of computational

resources, and so on. Furthermore, the growing need for portability is not fully met

by virtualization. Hypervisor software from different vendors comes in the way of

ensuring application portability. Differences in the OS and application distributions,

versions, editions, and patches hinder smooth portability. Computer virtualization

has ourished, whereas the other, closely associated concepts of network and storage

virtualization are just taking off. Building distributed applications through VM

interactions invites and involves some practical difculties.

Preface

[ viii ]

Let's move on to containerization. All of these barriers contribute to the

unprecedented success of the idea of containerization. A container generally contains

an application, and all of the application's libraries, binaries, and other dependencies

are stuffed together to be presented as a comprehensive, yet compact, entity for

the outside world. Containers are exceptionally lightweight, highly portable, easily

and quickly provisionable, and so on. Docker containers achieve native system

performance. The greatly articulated DevOps goal gets fully fullled through

application containers. As best practice, it is recommended that every container hosts

one application or service.

The popular Docker containerization platform has come up with an enabling

engine to simplify and accelerate the life cycle management of containers. There are

industry-strength and openly automated tools made freely available to facilitate the

needs of container networking and orchestration. Therefore , producing and sustaining

business-critical distributed applications is becoming easy. Business workloads are

methodically containerized to be easily taken to cloud environments, and they are

exposed for container crafters and composers to bring forth cloud-based software

solutions and services. Precisely speaking, containers are turning out to be the most

featured, favored, and ne-tuned runtime environment for IT and business services.

This book is meticulously designed and developed in order to empower developers,

cloud architects, business managers, and strategists with all the right and relevant

information on the Docker platform and its capacity to power up mission-critical,

composite, and distributed applications across industry verticals.

What this book covers

Chapter 1, Getting Started with Docker, talks about the Docker platform and

how it simplies and speeds up the process of realizing containerized workloads to

be readily deployed and run on a variety of platforms. 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 primarily meant to expound the 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, introduces Docker's integrated image building system.

The other important topics covered in this chapter include a quick overview of a

Dockerle's syntax and a bit of theory on how Docker stores images.

Preface

[ ix ]

Chapter 4, Publishing Images, focuses on publishing images on the centralized Docker

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

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

the Docker Hub, the automatic building of images, creating organizations on Docker

Hub, and nally private repositories.

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

set up their own private repositories. Due to certain reasons, corporates may not

want to host specic Docker images in publicly-available image repositories, such

as the Docker Hub. Here, the need for their own private repository to keep up those

images arises. This chapter has all of 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 for the

outside world to nd and access it. How the appropriate Dockerle gets 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.

Chapter 8, Orchestrating Containers, focuses on orchestrating multiple

containers towards composite, containerized workloads. It is a well-known

truth that orchestration plays a major role in producing composite applications.

This chapter includes some information about orchestration and the toolset made

available for enabling the process of orchestration. Finally, you will nd 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.

In this chapter, you nd out how to run the tests inside an ad hoc Docker image.

Finally, you come across 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. Also, the details regarding how Docker ensures that processes

running inside containers are isolated from the outside world are covered.

Furthermore, descriptions of the usage of the nsenter and nsinit tools for effective

debugging are included.

剩余239页未读，继续阅读

ramissue

粉丝: 354
资源: 1487

掌握Docker：快速部署与安全优化应用

Learning.Docker.1784397938

Learning.Docker.Networking.17852809

docker 深度学习

docker配置深度学习环境

linux启动docker中的redis

ubuntu安装kind

python learn role

d2l docker

No such file or directory: 'D:\\DeepLearning\\PycharmProjects\\clip-pytorch-main\\nets\\../model_data/bpe_simple_vocab_16e6.txt.gz'

学习后端应该准备什么书籍

最新资源