Book Image

Mastering Spring Boot 2.0

By : Dinesh Rajput
Book Image

Mastering Spring Boot 2.0

By: Dinesh Rajput

Overview of this book

Spring is one of the best frameworks on the market for developing web, enterprise, and cloud ready software. Spring Boot simplifies the building of complex software dramatically by reducing the amount of boilerplate code, and by providing production-ready features and a simple deployment model. This book will address the challenges related to power that come with Spring Boot's great configurability and flexibility. You will understand how Spring Boot configuration works under the hood, how to overwrite default configurations, and how to use advanced techniques to prepare Spring Boot applications to work in production. This book will also introduce readers to a relatively new topic in the Spring ecosystem – cloud native patterns, reactive programming, and applications. Get up to speed with microservices with Spring Boot and Spring Cloud. Each chapter aims to solve a specific problem or teach you a useful skillset. By the end of this book, you will be proficient in building and deploying your Spring Boot application.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Chapter 15. Production Ready Service Monitoring and Best Practices

Monitoring and logging are very important for any enterprise application, especially when we are dealing with a microservices-based distributed application with the involvement of several technologies. But logging and monitoring for individual microservices-based applications are very challenging due to the distributed behavior of the application's deployment. In a distributed application, several microservices are running together on several machines, so logs generated by different microservices are very difficult to trace end-to-end transactions.

In this chapter, we will elaborate on some of the best practices in building distributed systems and on performance monitoring for production-ready services. We will introduce log aggregation using the Elasticsearch/Logstash/Kibana stack for distributed applications.

By the end of this chapter, you will have a better understanding of how to monitor a distributed system and how to...