You're reading from Microservices with Spring Boot 3 and Spring Cloud, Third Edition - Third Edition

Product type Book

Published in Aug 2023

Publisher Packt

ISBN-13 9781805128694

Pages 706 pages

Edition 3rd Edition

Languages

Java

Concepts

Microservices

Author (1):

Magnus Larsson

Table of Contents (26) Chapters

Preface

1. Introduction to Microservices

2. Introduction to Spring Boot

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

Using Micrometer Tracing and Zipkin for distributed tracing

To understand what is going on in a distributed system such as a system landscape of cooperating microservices, it is crucial to be able to track and visualize how requests and messages flow between microservices when processing an external call to the system landscape.

Refer to Chapter 1, Introduction to Microservices, in the Distributed tracing section, for more information on this subject.

Starting with Spring Boot 3, distributed tracing is handled by Micrometer Tracing, replacing Spring Cloud Sleuth. Micrometer Tracing can mark requests and messages/events that are part of the same processing flow with a common correlation ID.Micrometer Tracing can also be used to decorate log records with correlation IDs to make it easier to track log records from different microservices that come from the same processing flow. Zipkin is a distributed tracing system (http://zipkin.io) that Micrometer Tracing can send tracing data to for...