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Docker in Practice, Second Edition
Ian Miell and Aidan Hobson Sayers
  • February 2019
  • ISBN 9781617294808
  • 384 pages
  • printed in black & white
free previous edition included
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Must-have guide to understanding, setting up, and administering Docker! The authors do a fantastic job identifying and resolving common problems.

Alex Basile, Bloomberg

Docker in Practice, Second Edition presents over 100 practical techniques, hand-picked to help you get the most out of Docker. Following a Problem/Solution/Discussion format, you'll walk through specific examples that you can use immediately, and you'll get expert guidance on techniques that you can apply to a whole range of scenarios.

Table of Contents detailed table of contents

Part 1: Docker fundamentals

1 Discovering Docker

1.1 The what and why of Docker

1.1.1 What is Docker?

1.1.2 What is Docker good for?

1.1.3 Key concepts

1.2 Building a Docker application

1.2.1 Ways to create a new Docker image

1.2.2 Writing a Dockerfile

1.2.3 Building a Docker image

1.2.4 Running a Docker container

1.2.5 Docker layering

1.3 Summary

2 Understanding Docker: Inside the engine room

2.1 Docker’s architecture

2.2 The Docker daemon

Technique 1 Open your Docker daemon to the world

Technique 2 Running containers as daemons

Technique 3 Moving Docker to a different partition

2.3 The Docker client

Technique 4 Use socat to monitor Docker API traffic

Technique 5 Using Docker in your browser

Technique 6 Using ports to connect to containers

Technique n Allowing container communication with user-defined networks

Technique 7 Linking containers for port isolation

Technique 8 Setting up a local Docker registry

2.4 Docker registries

Technique 9 Finding and running a Docker image

2.5 The Docker Hub

Technique 10 Finding and running a Docker image

Summary

Part 2: Docker and development

3 Using Docker as a lightweight virtual machine

3.1 From VM to container

Technique 11 Converting your VM to a container

Technique 12 A host-like container

Technique 13 Splitting a system into microservice containers

Technique 14 Managing the startup of your container’s services

3.2 Saving and restoring your work

Technique 15 The “save game” approach: Cheap source control

Technique 16 Docker tagging

Technique 17 Sharing images on the Docker Hub

Technique 18 Referring to a specific image in builds

3.3 Environments as processes

Technique 19 The “save game” approach: Winning at 2048

Summary

4 Building Images

4.1 Building images

Technique 20 Injecting files into your image using ADD

Technique 21 Rebuilding without the cache

Technique 22 Busting the cache

Technique 23 Intelligent cache-busting using build-args

Technique 24 Intelligent cache-busting using the ADD directive

Technique 25 Setting the right time zone in your containers

Technique 26 Locale management

Technique 27 Stepping through layers with the image-stepper

Technique 28 Onbuild and golang

Summary

5 Running containers

5.1 Running containers

Technique 29 Running GUIs within Docker

Technique 30 Inspecting containers

Technique 31 Cleanly killing containers

Technique 32 Using Docker Machine to provision Docker hosts

Technique 33 Wildcard DNS

5.2 Volumes—​a persistent problem

Technique 34 Docker volumes: Problems of persistence

Technique 35 Distributed volumes with Resilio Sync

Technique 36 Retaining your container’s bash history

Technique 37 Data containers

Technique 38 Remote volume mounting using SSHFS

Technique 39 Sharing data over NFS

Technique 40 Dev tools container

Summary

6 Day-to-day Docker

6.1 Staying ship-shape

Technique 34 Docker volumes: Problems of persistence

Technique 35 Distributed volumes with Resilio Sync

Technique 36 Retaining your container’s bash history

Technique 37 Data containers

Technique 38 Remote volume mounting using SSHFS

Technique 39 Sharing data over NFS

Technique 40 Dev tools container

Summary

7 Configuration management: Getting your house in order

7.1 Configuration management and Dockerfiles

Technique 49 Creating reliable bespoke tools with ENTRYPOINT

Technique 50 Avoiding package drift by specifying versions

Technique 51 Replacing text with perl -p -i -e

Technique 52 Flattening images

Technique 53 Managing foreign packages with Alien

7.2 Traditional configuration management tools with Docker

Technique 54 Traditional: Using make with Docker

Technique 55 Building images with Chef Solo

7.3 Small is beautiful

Technique 56 Tricks for making an image smaller

Technique 57 Tiny Docker images with BusyBox and Alpine

Technique 58 The Go model of minimal containers

Technique 59 Using inotifywait to slim containers

Technique 60 Big can be beautiful

Summary

Part 3: Docker and DevOps

8 Continuous integration: Speeding up your development pipeline

8.1 Docker Hub automated builds

Technique 61 Using the Docker Hub workflow

8.2 More efficient builds

Technique 62 Speeding up I/O-intensive builds with eatmydata

Technique 63 Setting up a package cache for faster builds

Technique 64 Headless Chrome in a container

Technique 65 Running Selenium tests inside Docker

8.3 Containerizing your CI process

Technique 66 Running the Jenkins master within a Docker container

Technique 67 Containing a complex development environment

Technique 68 Scaling your CI with Jenkins’ Swarm plugin

Technique 69 Upgrading your containerized Jenkins server safely

Summary

9 Continuous delivery: A perfect fit for Docker principles

9.1 Interacting with other teams during the CD pipeline

Technique 70 The Docker contract: Reducing friction

9.2 Facilitating deployment of Docker images

Technique 71 Manually mirroring registry images

Technique 72 Delivering images over constrained connections

Technique 73 Sharing Docker objects as TAR files

9.3 Configuring your images for environments

Technique 74 Informing your containers with etcd

9.4 Upgrading running containers

Technique 75 Using confd to enable zero-downtime switchovers

Summary

10 Network simulation: Realistic environment testing without the pain

10.1 Container communication—​beyond manual linking

Technique 76 A simple Docker Compose cluster

Technique 77 A SQLite server using Docker Compose

10.2 Using Docker to simulate real-world networking

Technique 78 Simulating troublesome networks with Comcast

Technique 79 Simulating troublesome networks with Blockade

10.3 Docker and virtual networks

Technique 80 Creating another Docker virtual network

Technique 81 Setting up a substrate network with Weave

Summary

Part 4: Orchestration from a single machine to the cloud

11 A primer on container orchestration

11.1 Simple single-host Docker

Technique 82 Managing your host’s containers with systemd

Technique 83 Orchestrating the startup of your host’s containers

11.2 Manual Multi-host Docker

Technique 84 Manual multi-host Docker with Helios

11.3 Service discovery: What have we here?

Technique 85 Using Consul to discover services

Technique 86 Automatic service registration with Registrator

Summary

12 The data center as an OS with Docker

12.1 Multi-host Docker

Technique 87 A seamless Docker cluster with swarm mode

Technique 88 Using a Kubernetes cluster

Technique 89 Accessing the Kubernetes API from within a pod

Technique 90 Using OpenShift to run AWS APIs locally

Technique 91 Building a framework on Mesos

Technique 92 Micromanaging Mesos with Marathon

Summary

13 Docker platforms

13.1 Organizational choice factors

13.1.1 Time to market

13.1.2 Buy vs. build

13.1.3 Monolithic vs. piecemeal

13.1.4 Open source vs. licensed

13.1.5 Security stance

13.1.6 Consumer independence

13.1.7 Cloud strategy

13.1.8 Organizational structure

13.1.9 Multiple platforms?

13.1.10 Organizational factors conclusion

13.2 Areas to consider when adopting Docker

13.2.1 Security and control

13.2.2 Building and shipping images

13.2.3 Running containers

13.3 Vendors, organizations, and products

13.3.1 The Cloud Native Computing Foundation (CNCF)

13.3.2 Docker, Inc.

13.3.3 Google

13.3.4 Microsoft

13.3.5 Amazon

13.3.6 Red Hat

Summary

Part 5: Docker in production

14 Docker and security

14.1 Docker access and what it means

14.1.1 Do you care?

14.2 Security measures in Docker

Technique 93 Constraining capabilities

Technique 94 A “bad” Docker image to scan

14.3 Securing access to Docker

Technique 95 HTTP auth on your Docker instance

Technique 96 Securing your Docker API

14.4 Security from outside Docker

Technique 97 Reducing a container’s attack surface with DockerSlim

Technique 98 Removing secrets added during a build

Technique 99 OpenShift: An application platform as a service

Technique 100 Using security options

Summary

15 Plain sailing: Docker in production and operational considerations

15.1 Monitoring

Technique 101 Logging your containers to the host’s syslog

Technique 102 Logging your Docker logs output

Technique 103 Monitoring containers with cAdvisor

15.2 Resource control

Technique 104 Restricting the cores a container can execute on

Technique 105 Giving important containers more CPU

Technique 106 Limiting the memory usage of a container

15.3 Sysadmin use-cases for Docker

Technique 107 Using Docker to run cron jobs

Technique 108 The “save game” approach to backups

Summary

16 Docker in production: Dealing with challenges

16.1 Performance: You can’t ignore the tin

Technique 109 Accessing host resources from the container

Technique 110 Disabling the OOM killer

16.2 When containers leak—​debugging Docker

Technique 111 Debugging a container’s network with nsenter

Technique 112 Using tcpflow to debug in flight without reconfiguring

Technique 113 Debugging containers that fail on specific hosts

Technique 114 Extracting a file from an image

Summary

Appendixes

Appendix A: Installing and using Docker

The virtual machine approach

Docker client connected to an external Docker server

Native Docker client and virtual machine

Docker on Windows

Getting help

Appendix B: Docker configuration

Configuring Docker

Restarting Docker

Restarting with systemctl

Restarting with service

Appendix C: Vagrant

Setting up

GUIs

Memory

About the Technology

Docker’s simple idea—wrapping an application and its dependencies into a single deployable container—created a buzz in the software industry. Now, containers are essential to enterprise infrastructure, and Docker is the undisputed industry standard. So what do you do after you’ve mastered the basics? To really streamline your applications and transform your dev process, you need relevant examples and experts who can walk you through them. You need this book.

About the book

Docker in Practice, Second Edition teaches you rock-solid, tested Docker techniques, such as replacing VMs, enabling microservices architecture, efficient network modeling, offline productivity, and establishing a container-driven continuous delivery process. Following a cookbook-style problem/solution format, you’ll explore real-world use cases and learn how to apply the lessons to your own dev projects.

What's inside

  • Continuous integration and delivery
  • The Kubernetes orchestration tool
  • Streamlining your cloud workflow
  • Docker in swarm mode
  • Emerging best practices and techniques

About the reader

Written for developers and engineers using Docker in production.

About the authors

Ian Miell and Aidan Hobson Sayers are seasoned infrastructure architects working in the UK. Together, they used Docker to transform DevOps at one of the UK’s largest gaming companies.


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