Book Image

Docker Orchestration

By : Randall Smith
Book Image

Docker Orchestration

By: Randall Smith

Overview of this book

Docker orchestration is what you need when transitioning from deploying containers individually on a single host to deploying complex multi-container apps on many machines. This book covers the new orchestration features of Docker 1.12 and helps you efficiently build, test, and deploy your application using Docker. You will be shown how to build multi-container applications using Docker Compose. You will also be introduced to the building blocks for multi-host Docker clusters such as registry, overlay networks, and shared storage using practical examples. This book gives an overview of core tools such as Docker Machine, Swarm, and Compose which will enhance your orchestration skills. You’ll learn how to set up a swarm using the decentralized building block. Next, you’ll be shown how to make the most out of the in-built orchestration feature of Docker engine and you’ll use third-party tools such as Kubernetes, Mesosphere, and CoreOS to orchestrate your existing process. Finally, you will learn to deploy cluster hosts on cloud services and automate your infrastructure.
Table of Contents (17 chapters)
Docker Orchestration
About the Author
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Chapter 9. Using Continuous Integration to Build, Test, and Deploy Containers

One of the most important parts of running containers is building the images those containers are based on. After all, without an image, there is no container. One of the challenges is to ensure that the Docker images actually, not only build, but also work before being deployed.

This chapter will demonstrate how to use GitLab to implement Continuous Integration (CI) for Docker images. It will show how to automatically build an image, run a test suite against it, push the new image into a Docker Registry, and even deploy the new image to a Docker cluster.

The following topics will be covered in the chapter:

  • The importance of using CI

  • Setting up a project in GitLab for CI

  • Automatically building a new image

  • Running tests against an image

  • Releasing a tested image

  • Automatically deploying the image

  • Using GitLab CI to create DAB files

  • Using Docker Cloud for image testing