Book Image

Hands-On Microservices with Spring Boot and Spring Cloud

By : Magnus Larsson
Book Image

Hands-On Microservices with Spring Boot and Spring Cloud

By: Magnus Larsson

Overview of this book

Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot. This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you’ll learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you’ll understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you’ll explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana. By the end of this book, you’ll be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.
Table of Contents (26 chapters)
Title Page

Improving Resilience Using Resilience4j

In this chapter, we will learn how to use Resilience4j to make our microservices more resilient, that is, how to mitigate and recover from errors. As we already discussed in Chapter 1, Introduction to Microservices, in the Circuit breaker section, and Chapter 8, Introduction to Spring Cloud, the Resilience4j for improved resilience section, a circuit breaker can be used to minimize the damage that a slow or not-responding downstream microservice can cause in a large-scale system landscape of synchronously communicating microservices. We will see how the circuit breaker in Resilience4j can be used together with a timeout and retry mechanism to prevent two—in my experience—of the most common error situations:

  • Microservices that start to respond slowly or not at all
  • Requests that randomly fail from time to time...