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Mastering Prometheus

You're reading from  Mastering Prometheus

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781805125662
Pages 310 pages
Edition 1st Edition
Languages
Concepts
Author (1):
William Hegedus William Hegedus
Profile icon William Hegedus

Table of Contents (21) Chapters

Preface 1. Part 1: Fundamentals of Prometheus
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

Monitoring Mixins

The Monitoring Mixins project was started in 2018 and initially driven primarily by two pillars of the Prometheus community, Tom Wilkie (CTO of Grafana Labs) and Frederic Branczyk (of Prometheus Operator fame, among many other things). The stated aim of the project is to “define a minimal standard for how to package together Prometheus alerts, Prometheus recording rules, and Grafana dashboards.”

The project aims to address the needs of two distinct user bases: consumers and providers. In this context, providers are developers and maintainers of software who wish to be able to provide – in a consistent way – a base-level package of configurable Prometheus alerts, recording rules, and Grafana dashboards for their software. This is in line with the thinking that developers of software are the most equipped to be able to identify what metrics their software exposes and which should be of the most interest to its users. On the opposite side...

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