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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 FREE CHAPTER
2. Introduction to Microservices 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

Summary

In this chapter, we have learned how to use Prometheus and Grafana to collect and monitor alerts on performance metrics. 

We saw that, for collecting performance metrics, we can use Prometheus in a Kubernetes environment. We then learned how Prometheus can automatically collect metrics from a pod when a few Prometheus annotations are added to the pod's definition. In order to produce metrics in our microservices, we used Micrometer.

Then, we saw how we can monitor the collected metrics using Grafana dashboards. Both of the dashboards that come with Kiali, as well as the dashboards that were shared by the Grafana community. We also learned how to develop our own dashboards where we used metrics from Resilience4j to monitor the usage of its circuit breaker and retry mechanisms.

Finally, we learned how to define alerts on metrics in Grafana and how to...

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