metrics-collection

You collect Prometheus metrics by implementing counters, gauges, and histograms to track API requests, active user sessions, and measure request latency for identifying performance bottlenecks.

The best way to set up observability is to use a framework that exports metrics in a Prometheus-compatible format, enabling detailed monitoring, dashboarding, and alerting for system observability.

Yes, you need a TypeScript or Python environment to integrate this Prometheus metrics collection framework and register custom counters, gauges, or histograms with custom labels.

Yes, you can attach custom labels like method and path to Prometheus counters. The framework supports custom labels across counters, gauges, and histograms for detailed system monitoring.

For system observability and alerting, you can track Counters, Gauges, and Histograms. These metric types facilitate comprehensive data capture for dashboards and performance monitoring.