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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

Introducing distributed tracing with Spring Cloud Sleuth and Zipkin

To recapitulate from Chapter 8, Introduction to Spring Cloud, in reference to the Spring Cloud Sleuth and Zipkin for distributed tracing section, the tracing information from a complete workflow is called a trace or a trace tree, and sub-parts of the tree, for example, the basic units of work, are called a span. Spans can consist of sub spans forming the trace tree. The Zipkin UI can visualize a trace tree and its spans as follows:

Spring Cloud Sleuth can send trace information to Zipkin either synchronously over HTTP, or asynchronously using a message broker such as RabbitMQ or Kafka. To avoid creating runtime dependencies on the Zipkin server from the microservices, it is preferable to send trace information to Zipkin asynchronously using either RabbitMQ or Kafka. This...

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