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

Product type Paperback

Published in Aug 2023

Publisher Packt

ISBN-13 9781805128694

Length 706 pages

Edition 3rd Edition

Languages

Java

Tools

Istio

Concepts

Microservices

Author (1):

Magnus Larsson AB

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Table of Contents (26) Chapters

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

Monitoring Microservices

In this chapter, we will learn how to use Prometheus and Grafana to collect, monitor, and alert about performance metrics. As we mentioned in Chapter 1, Introduction to Microservices, in a production environment it is crucial to be able to collect metrics for application performance and hardware resource usage. Monitoring these metrics is required to avoid long response times or outages for API requests and other processes.

To be able to monitor a system landscape of microservices in a cost-efficient and proactive way, we must also be able to define alarms that are triggered automatically if the metrics exceed the configured limits.

In this chapter, we will cover the following topics: