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


In this chapter, we discussed a lot of topics not obviously related to Spring Cloud, but the tools explained in this chapter will allow you to take advantage of migrating to microservices-based architecture. When using Docker, Kubernetes, or tools for CI or CD, there is an obvious advantage to cloud-native development with Spring Cloud. Of course, all of the presented examples have been launched on the local machine, but you can refer to these to imagine how that process could be designed in a production environment across a cluster of remote machines.   

In this chapter, we wanted to show you how simple and quick it can be to move from running Spring microservices manually on the local machine to a fully-automated process that builds the application from source code, creates and runs a Docker image with your application, and deploys it on a cluster consisting of multiple machines. It is not easy to describe all of the features provided by such complex tools as Docker, Kubernetes...