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 9. Distributed Logging and Tracing

When breaking down a monolith into microservices, we usually spend a lot of time thinking about business boundaries or the partitioning of our application logic, but we forget about the logs. From my own experience as a developer and software architect, I can say that developers do not usually pay much attention to logging. On the other hand, operation teams, which are responsible for application maintenance, are mainly dependent on logs. Regardless of one's area of expertise, it is indisputable that logging is something that all applications have to do, whether they have monolithic or microservices architecture.However, microservices force adding a whole new dimension to design and arrangement of application logs. There are many small, independent, horizontally scaled, intercommunicating services that are running on multiple machines. Requests are often processed by multiple services. We have to correlate these requests and store all the logs in...