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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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Summary


Logging and tracing are usually not very important during development, but these are the key features that are used in the maintenance of the system. In this chapter, I have placed emphasis on the fields of development and operations. I have shown you how to integrate a Spring Boot microservice application with Logstash and Zipkin in several ways. I have also shown you some examples to illustrate how to enable Spring Cloud Sleuth features for an application in order to make it easier to monitor calls between many microservices. After reading this chapter, you should also be able to effectively use Kibana as a log aggregator tool and Zipkin as a tracing tool for discovering bottlenecks in communication inside your system. 

Spring Cloud Sleuth, in conjunction with Elastic Stack and Zipkin, seems to be a very powerful ecosystem, which removes any doubts you might have about problems with monitoring systems that consist of many independent microservices.

 

 

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