Book Image

Mastering Docker, Fourth Edition - Fourth Edition

Book Image

Mastering Docker, Fourth Edition - Fourth Edition

Overview of this book

Docker has been a game changer when it comes to how modern applications are deployed and created. It has now grown into a key driver of innovation beyond system administration, with a significant impact on the world of web development. Mastering Docker shows you how you can ensure that you're keeping up with the innovations it's driving and be sure you're using it to its full potential. This fourth edition not only demonstrates how to use Docker more effectively but also helps you rethink and reimagine what you can achieve with it. You'll start by building, managing, and storing images along with exploring best practices for working with Docker confidently. Once you've got to grips with Docker security, the book covers essential concepts for extending and integrating Docker in new and innovative ways. You'll also learn how to take control of your containers efficiently using Docker Compose, Docker Swarm, and Kubernetes. By the end of this Docker book, you’ll have a broad yet detailed sense of what's possible with Docker and how seamlessly it fits in with a range of other platforms and tools.
Table of Contents (22 chapters)
1
Section 1: Getting Up and Running with Docker
8
Section 2: Clusters and Clouds
16
Section 3: Best Practices

Exploring the basics of Docker Compose

In Chapter 1, Docker Overview, we discussed a few of the problems that Docker has been designed to solve. We explored how Docker addresses the challenges faced by a lot of development and operations teams. One such solution was to run two different application stacks side by side by isolating each application stack's processes into a single container. This lets you run two entirely different versions of the same software stack—let's say PHP 5.6 and PHP 7—on the same host, as we did in Chapter 2, Building Container Images.

Toward the end of Chapter 4, Managing Containers, we launched an application that was made up of multiple containers rather than running the required software stack in a single container. The example application we started, Moby Counter, is written in Node.js and uses Redis as a backend to store key values, which in our case were the coordinates of the Docker logos on screen.

To be able to run the...