Monthly cost
Free
Self-hosted
Popularity
4/5
LLM knowledge
5/5
Difficulty
Hard
#open-source#self-hostable
What Prometheus is good at
Strengths
- +De-facto metrics standard
- +Pull model
- +Huge ecosystem
Tradeoffs
- −You run it
- −Not for logs or traces
Coding-agent prompt
Drop into Claude / Cursor to get idiomatic Prometheus code.
You're working with Prometheus. Open-source time-series database for metrics. Best practices: - Lean on: de-facto metrics standard - Lean on: pull model - Lean on: huge ecosystem Things to watch for: - Watch out for: you run it - Watch out for: not for logs or traces General guidance: - Canonical docs: https://prometheus.io — check here before inventing APIs. - Keep secrets in environment variables, never commit them. - Write TypeScript where the ecosystem supports it; add types to every exported function. - Add tests for the critical paths before declaring the task done. - Read-the-docs is usually faster than guessing — cite the docs page in code comments when you apply a non-obvious pattern.
Beginner's guide to Prometheus
In one line: Open-source time-series database — the standard for metrics.
Prometheus scrapes metrics from your apps on a schedule and stores them. Usually paired with Grafana for visualization.
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