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Prometheus Cheatsheet

Quick reference guide for Prometheus, Metrics monitoring and alerting

Reviewed May 25, 2026. Privacy model: tool input is processed in your browser and is not uploaded to BytePane servers.

CategoryDevOps
ParadigmMonitoring
TypingN/A
Created2012 by SoundCloud
File Extension.yml
Sections10 topics

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.

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.
  • ✓Topic Outline, Groups core Prometheus topics so you know what to look up next in the official Prometheus documentation.
  • ✓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.

Methodology & Sources for Prometheus

How we compile Prometheus cheatsheet content: This page is a topic outline: the section list and short summaries are general orientation notes, not a line-by-line check of Prometheus syntax against its documentation. Confirm exact syntax, commands, and version-specific behavior in the official Prometheus documentation before relying on it.

  1. Primary source: official Prometheus documentation is the reference to verify against; this outline does not replace it.
  2. Examples: shown only where a section includes code; generic summaries do not include copy-ready code.
  3. Use cases: selected from common production, documentation, and debugging scenarios.
  4. Common pitfalls: based on recurring implementation mistakes, docs caveats, and developer support patterns.

General developer references (not specific to Prometheus):

Disclaimer: Cheatsheet content reflects standard usage patterns. Always verify with official documentation for your specific version. Code examples may need adaptation for your environment, dependencies, or framework version.

Maintained by Julian Okafor

Standards, Specs & Security References for Prometheus

For production code in Prometheus, always verify against canonical specifications and security guidance, not just tutorials. Common runtime / language-version compatibility issues are addressed by:

📜 Canonical Specs

Always cite the spec, not paraphrases:

🛡️ Security Standards

Avoid common vulnerabilities:

📦 Package Registries

Verify dependencies + audit:

🏗️ Build & Deploy

Modern toolchain references:

ReDoS warning: Regex patterns with nested quantifiers can cause catastrophic backtracking. Test patterns with regex101.com and check OWASP ReDoS guidance before deploying user-input regex.

Frequently Asked Questions

What is Prometheus used for?

Prometheus is primarily used for metrics monitoring and alerting. It was created by SoundCloud in 2012. It 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.