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Mastering Spring Cloud

Mastering Spring Cloud

By : Piotr Mińkowski
4.3 (3)
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Mastering Spring Cloud

Mastering Spring Cloud

4.3 (3)
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 (17 chapters)
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Different styles of communication 


We can identify different styles of communication between microservices. It is possible to classify them into two dimensions. The first of them is a division into synchronous and asynchronous communication protocols. The key point of asynchronous communication is that the client should not have blocked a thread while waiting for a response. The most popular protocol for that type of communication is AMQP, and we already had the opportunity to run an example of that protocol usage at the end of the previous chapter. However, the main way of communication between services is still synchronous HTTP protocol. We will be only talking about it in this chapter.

The second division is into different communication types based on whether there is a single message receiver or multiple receivers. In one-to-one communication, each request is processed by exactly one service instance. In one-to-many communication, each request may be processed by many different services...

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