Prometheus Cheatsheet
Quick reference guide for Prometheus — Metrics monitoring and alerting
Table of Contents
PromQL (Prometheus Query Language) selects and aggregates time series data. Instant vectors, range vectors, and aggregation operators enable monitoring queries and alerting rules.
Key Concepts
- •Understanding promql basics is essential for effective Prometheus development. Master the fundamentals before moving to advanced patterns.
- •Best practices include writing clean, readable code with proper naming conventions and consistent formatting.
- •Refer to the official Prometheus documentation for the latest syntax and API changes.
Metric Types in Prometheus provides essential functionality for building robust applications. Understanding these concepts helps you write cleaner, more maintainable code and follow Prometheus best practices.
Key Concepts
- •Understanding metric types is essential for effective Prometheus development. Master the fundamentals before moving to advanced patterns.
- •Best practices include writing clean, readable code with proper naming conventions and consistent formatting.
- •Refer to the official Prometheus documentation for the latest syntax and API changes.
Labels & Selectors in Prometheus provides essential functionality for building robust applications. Understanding these concepts helps you write cleaner, more maintainable code and follow Prometheus best practices.
Key Concepts
- •Understanding labels & selectors is essential for effective Prometheus development. Master the fundamentals before moving to advanced patterns.
- •Best practices include writing clean, readable code with proper naming conventions and consistent formatting.
- •Refer to the official Prometheus documentation for the latest syntax and API changes.
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About Prometheus
Prometheus is a monitoring DevOps tool created by SoundCloud in 2012. It is primarily used for metrics monitoring and alerting.
Why Use This Prometheus Cheatsheet?
- ✓Quick Reference — Find syntax and patterns instantly without searching through documentation.
- ✓Organized by Topic — 10 sections covering all major Prometheus concepts, from basics to advanced.
- ✓Always Updated — Covers the latest Prometheus features and best practices for 2026.
- ✓Searchable — Use the search bar to jump to exactly the concept you need.
Getting Started with Prometheus
Whether you're new to Prometheus or an experienced developer looking for a quick reference, this cheatsheet covers the essential concepts you need. Start with the fundamentals like promql basics and metric types, then progress to more advanced topics like exporters and grafana integration.
Prometheus has been widely adopted since its creation in 2012, with a strong community and ecosystem. Files typically use the .yml extension. For the most comprehensive and up-to-date information, always refer to the official Prometheus documentation alongside this cheatsheet.
Frequently Asked Questions
What is Prometheus used for?
Prometheus is primarily used for metrics monitoring and alerting. It was created by SoundCloud in 2012 and follows the monitoring paradigm.
Is Prometheus hard to learn?
Prometheus has a moderate learning curve. Start with the basics covered in sections like PromQL Basics and Metric Types, then gradually work through more advanced topics. This cheatsheet helps by providing quick references for each concept.
How do I use this cheatsheet?
Use the search bar to find specific topics, click section headers to expand/collapse content, and use the table of contents for quick navigation. You can also expand or collapse all sections at once.