Book Image

Spring Microservices

By : Rajesh R V
Book Image

Spring Microservices

By: Rajesh R V

Overview of this book

The Spring Framework is an application framework and inversion of the control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions to build web applications on top of the Java EE platform. This book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. Written to the latest specifications of Spring, you'll be able to build modern, Internet-scale Java applications in no time. We would start off with the guidelines to implement responsive microservices at scale. We will then deep dive into Spring Boot, Spring Cloud, Docker, Mesos, and Marathon. Next you will understand how Spring Boot is used to deploy autonomous services, server-less by removing the need to have a heavy-weight application server. Later you will learn how to go further by deploying your microservices to Docker and manage it with Mesos. By the end of the book, you'll will gain more clarity on how to implement microservices using Spring Framework and use them in Internet-scale deployments through real-world examples.
Table of Contents (18 chapters)
Spring Microservices
About the Author
About the Reviewer


In this chapter, you learned about the challenges around logging and monitoring when dealing with Internet-scale microservices.

We explored the various solutions for centralized logging. You also learned about how to implement a custom centralized logging using Elasticsearch, Logstash, and Kibana (ELK). In order to understand distributed tracing, we upgraded BrownField microservices using Spring Cloud Sleuth.

In the second half of this chapter, we went deeper into the capabilities required for microservices monitoring solutions and different approaches to monitoring. Subsequently, we examined a number of tools available for microservices monitoring.

The BrownField microservices are further enhanced with Spring Cloud Hystrix and Turbine to monitor latencies and failures in inter-service communications. The examples also demonstrated how to use the circuit breaker pattern to fall back to another service in case of failures.

Finally, we also touched upon the importance of data lakes and...