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Mastering Prometheus

You're reading from   Mastering Prometheus Gain expert tips to monitoring your infrastructure, applications, and services

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781805125662
Length 310 pages
Edition 1st Edition
Concepts
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Author (1):
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William Hegedus William Hegedus
Author Profile Icon William Hegedus
William Hegedus
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Fundamentals of Prometheus FREE CHAPTER
2. Chapter 1: Observability, Monitoring, and Prometheus 3. Chapter 2: Deploying Prometheus 4. Chapter 3: The Prometheus Data Model and PromQL 5. Chapter 4: Using Service Discovery 6. Chapter 5: Effective Alerting with Prometheus 7. Part 2: Scaling Prometheus
8. Chapter 6: Advancing Prometheus: Sharding, Federation, and High Availability 9. Chapter 7: Optimizing and Debugging Prometheus 10. Chapter 8: Enabling Systems Monitoring with the Node Exporter 11. Part 3: Extending Prometheus
12. Chapter 9: Utilizing Remote Storage Systems with Prometheus 13. Chapter 10: Extending Prometheus Globally with Thanos 14. Chapter 11: Jsonnet and Monitoring Mixins 15. Chapter 12: Utilizing Continuous Integration (CI) Pipelines with Prometheus 16. Chapter 13: Defining and Alerting on SLOs 17. Chapter 14: Integrating Prometheus with OpenTelemetry 18. Chapter 15: Beyond Prometheus 19. Index 20. Other Books You May Enjoy

Connecting the dots across observability systems

Prometheus is quickly becoming many people’s first introduction to the world of observability technologies. Its popularity and seeming ubiquity have consequently led it to influence many other observability projects that seek to replicate its ease of use and simple data model. This has the added benefit of making it easier to jump between observability services without having to change the filters we use to select data.

The most meaningful way to easily connect the dots across our various observability systems is to ensure consistency in the metadata that is attached to the telemetry coming from that system. In the context of Prometheus, that means that our label keys and values for ServiceX should be the same in Prometheus as they are in the rest of the systems we use. For example, if your Prometheus metrics for ServiceX have a label app=servicex on them, your logs for ServiceX should not have a label of app=service-x on them...

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