prometheus-grafana

Set up Prometheus metrics collection by configuring scrape targets defining job names and endpoints like 'app:3000' for 'my-service'. This enables collecting metric types including Counters, Gauges, and Histograms for system observability.

The best way to visualize system performance is by building Grafana dashboards connected to Prometheus. This setup displays collected metrics like latency and error rates, enabling comprehensive monitoring and data visualization for production-ready observability.

Write PromQL queries for alerting by defining conditions that trigger alerts when error rates exceed critical thresholds. This Skill guides configuring alerting rules in Prometheus to monitor metrics and alert on high error rates for system observability.

You need a production-ready monitoring stack when you require comprehensive system observability, such as tracking web service latency and error rates. Defining metric types and setting up alerts ensures your system health is continuously monitored and visualized.

Yes, the Prometheus configuration supports collecting and defining various metric types, including Counters, Gauges, Histograms, and Summaries. This allows you to capture diverse system metrics and visualize them effectively using Grafana dashboards for observability.