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, the API exposed by Kubernetes is a very powerful tool in your arsenal. Any task that can be performed through the dashboard or kubectl client is exposed as an API. You can do almost anything with your cluster simply by utilizing HTTP calls. Kubernetes takes an API-first approach that makes it programmable and extensible. As we have seen it is easy to get started with the API. Our service and deployment creating examples, may be simple but should give you an idea how to experiment with the api-server. Using the API you can create and retrieve cluster resources not only from the command-line using kubectl, but also from your own application, build scripts, or continuous delivery pipelines. Only your imagination and the sky is the limit, and speaking of the sky, it's time to move there and see how Kubernetes can be used in the cloud.