Book Image

Docker and Kubernetes for Java Developers

By : Jarosław Krochmalski
Book Image

Docker and Kubernetes for Java Developers

By: Jarosław Krochmalski

Overview of this book

Imagine creating and testing Java EE applications on Apache Tomcat Server or Wildfly Application server in minutes along with deploying and managing Java applications swiftly. Sounds too good to be true? But you have a reason to cheer as such scenarios are only possible by leveraging Docker and Kubernetes. This book will start by introducing Docker and delve deep into its networking and persistent storage concepts. You will then proceed to learn how to refactor monolith application into separate services by building an application and then packaging it into Docker containers. Next, you will create an image containing Java Enterprise Application and later run it using Docker. Moving on, the book will focus on Kubernetes and its features and you will learn to deploy a Java application to Kubernetes using Maven and monitor a Java application in production. By the end of the book, you will get hands-on with some more advanced topics to further extend your knowledge about Docker and Kubernetes.
Table of Contents (12 chapters)
More Resources


This chapter introduced a lot of new concepts. Let's briefly summarize what we have learned about the Kubernetes architecture.

Kubernetes (k8s) is an open source platform for automating container operations such as deployment, scheduling, and scalability across a cluster of nodes. Using Kubernetes, you can:

  • Automate the deployment and replication of containers
  • Scale up and down containers on the fly
  • Organize containers in groups and provide load balancing between them
  • Easily roll out new versions of application containers
  • Provide fault tolerance mechanisms to your application--if a container dies it gets replaced
  • Kubernetes consists of:
    • A Cluster: A group of nodes.
    • Nodes: Physical or virtual machines that act as workers. Each node runs the kubelet, proxy, and a Docker engine process.
    • The Master node: Provides a unified view into the cluster. It delivers the Kubernetes...