monitoring-observability

What problem does it solve? Production applications often lack visibility into failures, latency, and error rates, making incidents slow to detect and diagnose. This Skill provides guidance for building observability into applications so teams can detect issues quickly and respond before users are affected. ## Core Features & Use Cases - Three Pillars of Observability: Covers metrics (time-series data like CPU and requests/sec), logs (event records with context), and traces (request flow through the system). - Instrumentation Patterns: Includes a TypeScript/Express middleware example that records request duration histograms with method, route, and status code labels, plus Sentry integration for error tracking. - Use Case: When setting up monitoring for a new API service, use this Skill to add request-duration metrics, structured logging, health checks, and alert rules so on-call engineers get notified of error spikes and latency regressions. ## Quick Start Ask the AI to add request-duration metrics, structured logging, and Sentry error tracking to your Express application following the monitoring-observability guidance.