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Docker and Kubernetes for Java Developers

Docker and Kubernetes for Java Developers

By : Jaroslaw Krochmalski, Krochmalski
3.5 (4)
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Docker and Kubernetes for Java Developers

Docker and Kubernetes for Java Developers

3.5 (4)
By: Jaroslaw Krochmalski, 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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Removing a volume

The same as with creating volumes, there are two ways of removing a volume in Docker. Firstly, you can remove a volume by referencing a container's name and executing the docker rm -v command:

$ docker rm -v <containerName or ID>  

Docker will not warn you, when removing a container without providing the -v option, to delete its volumes. As a result, you will have dangling volumes—volumes that are no longer referenced by a container. As you remember, they are easy to get rid of using the docker volume prune command.

Another option to remove the volume is by using the docker volume rm command:

$ docker volume rm <volumeName or ID>  

If the volume happens to be in use by the container, Docker Engine will not allow you to delete it and will give you a warning message:

As you can see, creating, sharing, and removing volumes in Docker is not...

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