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

Working with Kubernetes

We have already launched our example microservices on Docker containers. We have even used CI and CD automated pipelines in order to run them on the local machine. You may, however, be asking an important question. How can we organize our environment on a larger scale and in production mode where we have to run multiple containers across multiple machines? Well, this is exactly what we have to do when implementing microservices in accordance with the idea of cloud native development. It turns out that many challenges still remain in this instance. Assuming that we have many microservices launched in multiple instances, there will be plenty of containers to manage. Doing things such as starting the correct containers at the correct time, handling storage considerations, scaling up or down, and dealing with failures manually would be a nightmare. Fortunately, there are some platforms available that help in clustering and orchestrating Docker containers at scale. Currently...