Book Image

Mastering Spring Cloud

By : Piotr Mińkowski
Book Image

Mastering Spring Cloud

By: Piotr Mińkowski

Overview of this book

Developing, deploying, and operating cloud applications should be as easy as local applications. This should be the governing principle behind any cloud platform, library, or tool. Spring Cloud–an open-source library–makes it easy to develop JVM applications for the cloud. In this book, you will be introduced to Spring Cloud and will master its features from the application developer's point of view. This book begins by introducing you to microservices for Spring and the available feature set in Spring Cloud. You will learn to configure the Spring Cloud server and run the Eureka server to enable service registration and discovery. Then you will learn about techniques related to load balancing and circuit breaking and utilize all features of the Feign client. The book now delves into advanced topics where you will learn to implement distributed tracing solutions for Spring Cloud and build message-driven microservice architectures. Before running an application on Docker container s, you will master testing and securing techniques with Spring Cloud.
Table of Contents (22 chapters)
Title Page
Copyright and Credits
Packt Upsell

Chapter 11. Message-Driven Microservices

We have already discussed many features around microservice-based architecture provided by Spring Cloud. However, we have always been considering synchronous, RESTful-based inter-service communication. As you probably remember from Chapter 1, Introduction to Microservices, there are some other popular communication styles, such as publish/subscribe or asynchronous, event-driven point-to-point messaging. In this chapter, I would like to introduce a different approach to microservices than that presented in previous chapters. We will talk in more detail about how you can work with Spring Cloud Stream in order to build message-driven microservices.

Topics we will cover in this chapter include:

  • The main terms and concepts related to Spring Cloud Stream
  • Using RabbitMQ and Apache Kafka message brokers as binders
  • The Spring Cloud Stream programming model
  • Advanced configurations of binding, producers, and consumers
  • Implementation of scaling, grouping, and partitioning...