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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Using the API

The API reference is a detailed document, available on the internet; of course the API version will change in the future, v1.6 was the current one at the time of writing.

Before we make some actual calls to the api-server, it's worth knowing that kubectl also communicates with Kubernetes cluster using the API. As we mentioned earlier, you can see what REST calls are being made by the kubectl command. Looking at what's being sent to the server during the usage of kubectl is a great way to become familiar with Kubernetes API.

To see REST requests being executed by kubectl, run it with a higher level of verbosity, for example with a --v=6 or --v=9 option.

Before we start making actual REST calls, let's briefly see what API operations are possible.