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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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11
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Runtime constraints on resources

It may be useful to restrict the Docker container usage of resources when running. Docker gives you a many possibilities to set constraints on the memory, CPU usage or disk access usage. Let's begin with setting the memory constraints.

Memory

It's worth knowing that, by default, that is, if you use the default settings without any constraints, the running container can use all of the host memory. To change this behavior we can use the --memory (or -m for short) switch for the docker run command. It takes the usual suffixes k, m, or g for kilobytes, megabytes and gigabytes, respectively.

The syntax of the docker run command with memory constraints set will be as follows:

$ docker run...

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