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
About the Reviewer
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Chapter 5. Deploying and Managing Services with Kubernetes

Kubernetes was started at Google as a way for them to manage containers and was released as open source on June 2014. Other companies quickly jumped on board. Kubernetes is the backend for Red Hat OpenShift 3, Deis Workflow, and fabric8's Platform as a Service (PaaS) products. Everyday, more and more organizations are deploying Kubernetes to orchestrate their services.

Kubernetes is a huge project; there is no way to cover everything about it in a single chapter. This chapter will cover everything you need to get started orchestrating containers using Kubernetes. The full documentation can be found at

The following topics are covered in this chapter:

  • Installing Kubernetes

  • Running pods

  • Managing deployments

  • Using rolling updates to upgrade a deployment with zero downtime

  • Using services and load balancers to expose your application to the Internet

  • Using persistent volumes to preserve container data