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Microservices with Spring Boot 3 and Spring Cloud, Third Edition

You're reading from   Microservices with Spring Boot 3 and Spring Cloud, Third Edition Build resilient and scalable microservices using Spring Cloud, Istio, and Kubernetes

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781805128694
Length 706 pages
Edition 3rd 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 (26) Chapters Close

Preface 1. Introduction to Microservices 2. Introduction to Spring Boot FREE CHAPTER 3. Creating a Set of Cooperating Microservices 4. Deploying Our Microservices Using Docker 5. Adding an API Description Using OpenAPI 6. Adding Persistence 7. Developing Reactive Microservices 8. Introduction to Spring Cloud 9. Adding Service Discovery Using Netflix Eureka 10. Using Spring Cloud Gateway to Hide Microservices behind an Edge Server 11. Securing Access to APIs 12. Centralized Configuration 13. Improving Resilience Using Resilience4j 14. Understanding Distributed Tracing 15. Introduction to Kubernetes 16. Deploying Our Microservices to Kubernetes 17. Implementing Kubernetes Features to Simplify the System Landscape 18. Using a Service Mesh to Improve Observability and Management 19. Centralized Logging with the EFK Stack 20. Monitoring Microservices 21. Installation Instructions for macOS 22. Installation Instructions for Microsoft Windows with WSL 2 and Ubuntu 23. Native-Complied Java Microservices 24. Other Books You May Enjoy
25. Index

Summary

In this chapter, we learned how to use distributed tracing to understand how our microservices cooperate. We learned how to use Micrometer Tracing to collect trace information, and Zipkin to store and visualize the trace information.

We saw how adding Micrometer Tracing to microservices is affected by adding a couple of dependencies to the build files and setting up a few configuration parameters. Reactive microservices are currently not fully supported, but we learned how to work around the most important issues. If required, we can use the Observation API to create custom spans or add tags to all spans created by a microservice. We also saw how the Zipkin UI makes it very easy to identify which part of a complex workflow caused either an unexpectedly long response time or an error. Both synchronous and asynchronous workflows can be visualized with the Zipkin UI.

In the next chapter, we will learn about container orchestrators, specifically Kubernetes. We will learn...

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