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 10. Building Resilient Systems Using Hystrix and Turbine

In this chapter, we will explore the circuit-breaker pattern with a reference implementation using the Netflix Hystrix library, looking at configuring the Turbine dashboard to aggregate Hystrix streams from multiple services. We will also cover some important aspects of the Turbine dashboard to aggregate the data streams from multiple services.

In microsystem architecture, we have seen that a monolithic application is divided into several pieces of software, and each is deployed as an individual service. This system is known as a distributed system. It has a lot of benefits, as we discussed in Chapter 4, Getting Started with Spring Cloud and Configuration. Due to the distributed nature of cloud-native applications, they have more potential failure modes than monolith applications. As the number of services will be increased in distributed systems, it will also increase the chance of cascading failures.

As each incoming request...