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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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Preface

Imagine creating and testing Java EE applications on Apache Tomcat or Wildfly in minutes, along with deploying and managing Java applications swiftly. Sounds too good to be true? You have a reason to cheer, because such scenarios are 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 be then introduced to the concept of microservices and learn how to deploy and run Java microservices as Docker containers. Moving on, the book will focus on Kubernetes and its features. You will start by running the local cluster using Minikube. The next step will be to deploy your Java service in the real cloud, on Kubernetes running on top of Amazon AWS. At the end of the book, you will get hands-on experience of some more advanced topics to further extend your knowledge of Docker and Kubernetes.

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