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Hands-On Microservices with Spring Boot and Spring Cloud

You're reading from   Hands-On Microservices with Spring Boot and Spring Cloud Build and deploy Java microservices using Spring Cloud, Istio, and Kubernetes

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Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781789613476
Length 668 pages
Edition 1st Edition
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Author (1):
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Magnus Larsson AB Magnus Larsson AB
Author Profile Icon Magnus Larsson AB
Magnus Larsson AB
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Table of Contents (25) Chapters Close

Preface 1. Section 1: Getting Started with Microservice Development Using Spring Boot
2. Introduction to Microservices FREE CHAPTER 3. Introduction to Spring Boot 4. Creating a Set of Cooperating Microservices 5. Deploying Our Microservices Using Docker 6. Adding an API Description Using OpenAPI/Swagger 7. Adding Persistence 8. Developing Reactive Microservices 9. Section 2: Leveraging Spring Cloud to Manage Microservices
10. Introduction to Spring Cloud 11. Adding Service Discovery Using Netflix Eureka and Ribbon 12. Using Spring Cloud Gateway to Hide Microservices Behind an Edge Server 13. Securing Access to APIs 14. Centralized Configuration 15. Improving Resilience Using Resilience4j 16. Understanding Distributed Tracing 17. Section 3: Developing Lightweight Microservices Using Kubernetes
18. Introduction to Kubernetes 19. Deploying Our Microservices to Kubernetes 20. Implementing Kubernetes Features as an Alternative 21. Using a Service Mesh to Improve Observability and Management 22. Centralized Logging with the EFK Stack 23. Monitoring Microservices 24. Other Books You May Enjoy

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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