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)
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As you can see, developing Java microservices is not as tricky as it may sound. You can choose between JEE7 JAX-RS or Spring Boot, wire some classes, and a basic service is ready. You are not limited to using Spring MVC for creating your REST endpoints. If you are more familiar with the Java EE JAX-RS specification, you can easily integrate JAX-RS into Spring applications, especially Spring Boot applications. You can then take what is best for you from both.

Of course, in the real world you would probably want to include some more advanced features such as authentication and security. Having Spring Initializr available can give you a serious speed boost when developing your own service. In Chapter 5, Creating Images with Java Applications, we are going to package our bookstore service into a Docker image and run it using Docker Engine.