Book Image

Spring 5.0 By Example

By : Claudio Eduardo de Oliveira
Book Image

Spring 5.0 By Example

By: Claudio Eduardo de Oliveira

Overview of this book

With growing demands, organizations are looking for systems that are robust and scalable. Therefore, the Spring Framework has become the most popular framework for Java development. It not only simplifies software development but also improves developer productivity. This book covers effective ways to develop robust applications in Java using Spring. The book has three parts, where each one covers the building of a comprehensive project in Java and Spring. In the first part, you will construct a CMS Portal using Spring's support for building REST APIs. You will also learn to integrate these APIs with AngularJS and later develop this application in a reactive fashion using Project Reactor, Spring WebFlux, and Spring Data. In the second part, you’ll understand how to build a messaging application, which will consume the Twitter API and perform filtering and transformations. Here, you will also learn about server-sent events and explore Spring’s support for Kotlin, which makes application development quick and efficient. In the last part, you will build a real microservice application using the most important techniques and patterns such as service discovery, circuit breakers, security, data streams, monitoring, and a lot more from this architectural style. By the end of the book, you will be confident about using Spring to build your applications.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Chapter 6. Playing with Server-Sent Events

In Chapter 4, Kotlin Basics and Spring Data Redis and Chapter 5, Reactive Web Clients, we created two microservices. The first one is responsible for keeping tracked data on Redis and triggering the second microservice which one will consume the Twitter stream. This process happens asynchronously.

In this chapter, we will create another microservice which will consume the data produced by Twitter Gathering and expose it via a REST API. It will be possible to filter Tweets by text content.

We have consumed the Twitter stream using the Server-Sent Events (SSE); we created a reactive REST client to consume that. Now, it is time to create our implementation for SSE. We will consume the RabbitMQ queue and push the data to our connected clients.

We will take a look at the SSE and understand why this solution fits well for our couple of microservices.

At the end of the chapter, we will be confident about using SSE in the Spring ecosystem.

In this chapter, we...