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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

Ensuring that a service mesh is resilient

In this section, we will learn how to use Istio to ensure that a service mesh is resilient; that is, it can handle temporary faults in a service mesh. Istio comes with mechanisms similar to what the Spring Framework offers in terms of timeouts, retries, and a type of circuit breaker called outlier detection to handle temporary faults. When it comes to deciding whether language-native mechanisms should be used to handle temporary faults, or whether this should be delegated to a service mesh such as Istio, I tend to favor using language-native mechanisms, as in the examples in Chapter 13, Improving Resilience Using Resilience4J. In many cases, it is important to keep the logic for handling errors, for example, handling fallback alternatives for a circuit breaker, together with other business logic for a microservice. ...

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