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Microservices with Go

You're reading from   Microservices with Go Building scalable and reliable microservices with Go

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781804617007
Length 328 pages
Edition 1st 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 (19) Chapters Close

Preface 1. Part 1: Introduction
2. Chapter 1: Introduction to Microservices FREE CHAPTER 3. Part 2: Foundation
4. Chapter 2: Scaffolding a Go Microservice 5. Chapter 3: Service Discovery 6. Chapter 4: Serialization 7. Chapter 5: Synchronous Communication 8. Chapter 6: Asynchronous Communication 9. Chapter 7: Storing Service Data 10. Chapter 8: Deployment with Kubernetes 11. Chapter 9: Unit and Integration Testing 12. Part 3: Maintenance
13. Chapter 10: Reliability Overview 14. Chapter 11: Collecting Service Telemetry Data 15. Chapter 12: Setting Up Service Alerting 16. Chapter 13: Advanced Topics 17. Index 18. Other Books You May Enjoy

Introduction to Prometheus

In Chapter 11, we mentioned a popular open source alerting and monitoring tool called Prometheus that 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 learning about Prometheus from Chapter 11:

  • 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 to Prometheus using a dedicated service, the Prometheus Pushgateway.

Scraping...

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