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Cloud-Native Applications in Java

Cloud-Native Applications in Java

By : Olsson, Mahajan, Kumar Gupta, S
4.2 (51)
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Cloud-Native Applications in Java

Cloud-Native Applications in Java

4.2 (51)
By: Olsson, Mahajan, Kumar Gupta, S

Overview of this book

Businesses today are evolving so rapidly that they are resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This means developers now are faced with the challenge of building build applications that are native to the cloud. For this, they need to be aware of the environment, tools, and resources they’re coding against. If you’re a Java developer who wants to build secure, resilient, robust, and scalable applications that are targeted for cloud-based deployment, this is the book for you. It will be your one stop guide to building cloud-native applications in Java Spring that are hosted in On-prem or cloud providers - AWS and Azure The book begins by explaining the driving factors for cloud adoption and shows you how cloud deployment is different from regular application deployment on a standard data centre. You will learn about design patterns specific to applications running in the cloud and find out how you can build a microservice in Java Spring using REST APIs You will then take a deep dive into the lifecycle of building, testing, and deploying applications with maximum automation to reduce the deployment cycle time. Gradually, you will move on to configuring the AWS and Azure platforms and working with their APIs to deploy your application. Finally, you’ll take a look at API design concerns and their best practices. You’ll also learn how to migrate an existing monolithic application into distributed cloud native applications. By the end, you will understand how to build and monitor a scalable, resilient, and robust cloud native application that is always available and fault tolerant.
Table of Contents (14 chapters)
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Types of testing

The various types of testing we discuss later in the chapter were already known even before cloud computing became popular. The principles of Agile development using continuous integration (CI) and continuous development (CD) make it important to automate these types of testing so that they are executed each time a code check-in and build happens.

Unit testing

The aim of unit testing is to test each class or code component and ensure it is performing as expected. JUnit is the popular Java framework for unit testing.

Using the Mock object pattern and Test Stubs, it is possible to isolate the dependent components of the services being tested so that the testing focuses on the system under test, which is the...

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