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Microservices with Go

You're reading from   Microservices with Go The expert's guide to building secure, scalable, and reliable microservices with Go

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Product type Paperback
Published in Jun 2025
Publisher Packt
ISBN-13 9781836207337
Length 428 pages
Edition 2nd Edition
Languages
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Author (1):
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Alexander Shuiskov Alexander Shuiskov
Author Profile Icon Alexander Shuiskov
Alexander Shuiskov
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Toc

Table of Contents (23) Chapters Close

Preface 1. Introduction FREE CHAPTER
2. Introduction to Microservices 3. Foundation
4. Scaffolding a Go Microservice 5. Service Discovery 6. Serialization 7. Synchronous Communication 8. Asynchronous Communication 9. Storing Service Data 10. Setting Up Service Deployments 11. Unit and Integration Testing 12. Security and Compliance 13. Maintenance
14. Reliability Overview 15. Collecting Service Telemetry Data 16. Setting Up Service Alerting 17. Performance Monitoring 18. Advanced Topics
19. Implementing Distributed System Scenarios 20. Advanced Topics 21. Other Books You May Enjoy
22. Index

Introduction to Prometheus

In Chapter 12, Collecting Service Telemetry Data, we mentioned a popular open source alerting and monitoring tool called Prometheus, which can collect service metrics and set up automated alerts based on the metric data. In this section, we will demonstrate how to use Prometheus to set up alerts for our microservices.

Let’s summarize our learnings about Prometheus from Chapter 12, Collecting Service Telemetry Data:

  • Prometheus allows us to collect and store service metrics in the form of a time series
  • There are three types of metrics – counters, histograms, and gauges
  • To query metrics data, Prometheus offers a query language called PromQL
  • Service alerts can be configured using a tool called Alertmanager

Metrics can be imported from service instances into Prometheus in two different ways:

  • Scraping: Prometheus reads metrics from service instances
  • Pushing: The service instance sends metrics...
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