Book Image

Spring 5.0 Microservices - Second Edition

By : Rajesh R V
Book Image

Spring 5.0 Microservices - Second Edition

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 that focuses on Reactive Programming, you’ll be able to build modern, internet-scale Java applications in no time. The book starts off with guidelines to implement responsive microservices at scale. Next, you will understand how Spring Boot is used to deploy serverless autonomous services by removing the need to have a heavyweight application server. Later, you’ll learn how to go further by deploying your microservices to Docker and managing them with Mesos. By the end of the book, you will have gained more clarity on the implementation of microservices using Spring Framework and will be able to use them in internet-scale deployments through real-world examples.
Table of Contents (11 chapters)

Centralized logging solution


In order to address the earlier stated challenges, traditional logging solutions require serious rethinking. The new logging solution, in addition to addressing the preceding challenges, is also expected to support the capabilities summarized here:

  • Ability to collect all log messages and run analytics on top of the log messages
  • Ability to correlate and track transactions end-to-end
  • Ability to keep log information for longer time periods for trending and forecasting
  • Ability to eliminate dependency on the local disk system
  • Ability to aggregate log information coming from multiple sources, such as network devices, operating system, microservices, and so on

The solution to these problems is to centrally store and analyze all log messages, irrespective of the source of the log. The fundamental principle employed in the new logging solution is to detach log storage and processes from the service execution environments. Big data solutions are better suited for storing and...