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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

Jsonnet and Monitoring Mixins

Have you ever tried to template YAML? It’s a nightmare! Most templating languages like Jinja (used by Ansible and Salt), or even Go’s templating language, handle whitespace in generally unintuitive ways to most users. It’s devilishly easy to accidentally add extra space into a template’s output. Combined with YAML’s whitespace sensitivity, it’s a recipe for headaches. And yet – like it or not – YAML is the de-facto configuration language of the present time, used for everything from deploying apps to Kubernetes to configuring your Prometheus servers. So, how do we balance the tedious, error-prone management of large YAML files by hand with the arguably more error-prone desire to template our way out of the repetitiveness?

One solution that has seen relatively broad adoption within the Prometheus community is using a language called Jsonnet to handle generating YAML files. Jsonnet is a superset...

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