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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
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Index

Improving Resilience Using Resilience4j

In this chapter, we will learn how to use Resilience4j to make our microservices more resilient, that is, how to mitigate and recover from errors. As we already discussed in Chapter 1, Introduction to Microservices, in the Circuit breaker section, and Chapter 8, Introduction to Spring Cloud, in the Using Resilience4j for improved resilience section, a circuit breaker can be used to minimize the damage that a slow or unresponsive downstream microservice can cause in a large-scale system landscape of synchronously communicating microservices. We will see how the circuit breaker in Resilience4j can be used together with a time limiter and retry mechanism to prevent two of the most common error situations:

  • Microservices that start to respond slowly or not at all
  • Requests that randomly fail from time to time, for example, due to temporary network problems

The following topics will be covered in this chapter:

  • Introducing...

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