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Microservices with Spring Boot 3 and Spring Cloud, Third Edition

Microservices with Spring Boot 3 and Spring Cloud, Third Edition

By : Magnus Larsson AB, Magnus Larsson
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Microservices with Spring Boot 3 and Spring Cloud, Third Edition

Microservices with Spring Boot 3 and Spring Cloud, Third Edition

4 (24)
By: Magnus Larsson AB, Magnus Larsson

Overview of this book

Looking to build and deploy microservices but not sure where to start? Check out Microservices with Spring Boot 3 and Spring Cloud, Third Edition. With a practical approach, you'll begin with simple microservices and progress to complex distributed applications. Learn essential functionality and deploy microservices using Kubernetes and Istio. This book covers Java 17, Spring Boot 3, and Spring Cloud 2022. Java EE packages are replaced with the latest Jakarta EE packages. Code examples are updated and deprecated APIs have been replaced, providing the most up to date information. Gain knowledge of Spring's AOT module, observability, distributed tracing, and Helm 3 for Kubernetes packaging. Start with Docker Compose to run microservices with databases and messaging services. Progress to deploying microservices on Kubernetes with Istio. Explore persistence, resilience, reactive microservices, and API documentation with OpenAPI. Learn service discovery with Netflix Eureka, edge servers with Spring Cloud Gateway, and monitoring with Prometheus, Grafana, and the EFK stack. By the end, you'll build scalable microservices using Spring Boot and Spring Cloud.
Table of Contents (26 chapters)
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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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