Prometheus | Sheetly Cheat Sheet

Last Updated: November 21, 2025

Prometheus

Open-source monitoring and alerting

Core Components

Item Description
Prometheus Server Scrapes and stores time-series data
Exporter Exposes metrics from services
Pushgateway Allows pushing metrics
Alertmanager Handles alerts
PromQL Query language for metrics

Configuration Example

global:
  scrape_interval: 15s
  evaluation_interval: 15s

scrape_configs:
  - job_name: 'my-app'
    static_configs:
      - targets: ['localhost:9090']

  - job_name: 'node-exporter'
    static_configs:
      - targets: ['localhost:9100']

Common PromQL Queries

Item Description
rate(http_requests_total[5m]) Request rate over 5 minutes
avg(cpu_usage) Average CPU usage
sum by (job) (requests) Sum requests by job
histogram_quantile(0.95, rate(...)) 95th percentile latency

Best Practices

  • Use labels for multi-dimensional data
  • Set appropriate scrape intervals
  • Use recording rules for expensive queries
  • Configure retention policies for data

💡 Pro Tips

Quick Reference

Use Grafana for visualizing Prometheus metrics

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