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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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Kubernetes' role

While Docker provides the lifecycle management of containers, Kubernetes takes it to the next level by providing orchestration and managing clusters of containers. As you know, your application created using the microservice architecture will contain a couple of separated, independent services. How do we orchestrate and manage them? Kubernetes is an open-source tool that's perfect for this scenario. It defines a set of building blocks which provide mechanisms for deploying, maintaining, and scaling applications. The basic scheduling unit in Kubernetes is called a pod. Containers in a pod run on the same host, share the same IP address, and find each other via localhost. They can also communicate with each other using standard inter-process communications, such as shared memory or semaphores. A pod adds another level of abstraction to containerized components...

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