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Hands-On Microservices with Spring Boot and Spring Cloud

Hands-On Microservices with Spring Boot and Spring Cloud

By : Magnus Larsson AB
2.9 (17)
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Hands-On Microservices with Spring Boot and Spring Cloud

Hands-On Microservices with Spring Boot and Spring Cloud

2.9 (17)
By: Magnus Larsson AB

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 (25 chapters)
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Section 1: Getting Started with Microservice Development Using Spring Boot
9
Section 2: Leveraging Spring Cloud to Manage Microservices
17
Section 3: Developing Lightweight Microservices Using Kubernetes

Choosing between non-blocking synchronous APIs and event-driven asynchronous services

When developing reactive microservices, it is not always obvious when to use non-blocking synchronous APIs and when to use event-driven asynchronous services. In general, to make a microservice robust and scalable, it is important to make it as autonomous as possible, for example, minimizing its runtime dependencies. This is also known as loose coupling. Therefore, asynchronous message passing of events, is preferable over synchronous APIs. This is because the microservice will only depend on access to the messaging system at runtime instead of being dependent on synchronous access to a number of other microservices.

There are, however, a number of cases where non-blocking synchronous APIs could be favorable to use, for example:

  • For read operations where an end user is waiting...

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