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Hands-On Cloud-Native Microservices with Jakarta EE

Hands-On Cloud-Native Microservices with Jakarta EE

By : Luigi Fugaro, Mauro Vocale
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Hands-On Cloud-Native Microservices with Jakarta EE

Hands-On Cloud-Native Microservices with Jakarta EE

5 (1)
By: Luigi Fugaro, Mauro Vocale

Overview of this book

Businesses today are evolving rapidly, and developers now face the challenge of building applications that are resilient, flexible, and native to the cloud. To achieve this, you'll need to be aware of the environment, tools, and resources that you're coding against. The book will begin by introducing you to cloud-native architecture and simplifying the major concepts. You'll learn to build microservices in Jakarta EE using MicroProfile with Thorntail and Narayana LRA. You'll then delve into cloud-native application x-rays, understanding the MicroProfile specification and the implementation/testing of microservices. As you progress further, you'll focus on continuous integration and continuous delivery, in addition to learning how to dockerize your services. You'll also cover concepts and techniques relating to security, monitoring, and troubleshooting problems that might occur with applications after you've written them. By the end of this book, you will be equipped with the skills you need to build highly resilient applications using cloud-native microservice architecture.
Table of Contents (14 chapters)
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Reactive systems and reactive programming

The term reactive is widely used in the definition of MSAs.

But what is a reactive architecture based on? The definition of reactive is to give an answer after a stimulus. Reactive software is, therefore, able to adapt its behavior and react to receive stimuli.

To build a reactive architecture for microservices, the following models must be combined:

  • Reactive programming: A development model based on the observation of streams of data, which provides a way to react to their changes and propagate them toward other actors
  • Reactive system: An architectural model that is used to build robust and highly reactive distributed systems based on asynchronous communication using messages

The definition of a reactive system was formalized, in version 2.0, in September 2014 through the reactive manifesto (https://www.reactivemanifesto.org/). The...

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