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

Monitoring latency and fault tolerance

As I have already mentioned, Hystrix is not only a simple tool implementing a circuit breaker pattern. It is a solution that deals with latency and fault tolerance in distributed systems. One interesting feature provided by Hystrix is the ability to expose the most important metrics related to interservice communication and display them using a UI dashboard. This function is available for clients wrapped with the Hystrix command. In some previous samples, we have analyzed only a part of our system to simulate a delay in communication between customer-service and account-service. That's a really good approach when testing advanced load balancing algorithms or different circuit breaker configuration settings, but now we will go back to analyzing the whole of our sample system setup as a set of standalone Spring Boot applications. This allows us to observe how Spring Cloud, in conjunction with Netflix OSS tools, helps us to monitor and react to latency...