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

Summary

In this chapter, we have seen how we can develop reactive microservices!

Using Spring WebFlux and Spring WebClient, we can develop non-blocking synchronous APIs that can handle incoming HTTP requests and send outgoing HTTP requests without blocking any threads. Using Spring Data's reactive support for MongoDB, we can also access MongoDB databases in a non-blocking way, that is, without blocking any threads while waiting for responses from the database. Spring WebFlux, Spring WebClient, and Spring Data rely on Spring Reactor to provide their reactive and non-blocking features. When we must use blocking code, for example, when using Spring Data for JPA, we can encapsulate the processing of the blocking code by scheduling the processing of it in a dedicated thread pool.

We have also seen how Spring Data Stream can be used to develop event-driven asynchronous...