What problem does it solve? Production systems fail in ways you cannot predict, and without proper instrumentation you cannot diagnose why. This Skill provides patterns for making systems observable through structured logging, metrics, distributed tracing, and actionable alerting. ## Core Features & Use Cases - Structured Logging: JSON-formatted logging patterns in Python and Node.js (Winston) with request ID tracking and guidance on what to log and what to exclude (secrets, PII). - Metrics & Tracing: Prometheus instrumentation using the RED method and Golden Signals, plus OpenTelemetry distributed tracing with Jaeger export. - Alerting & SLOs: Prometheus AlertManager rules, severity levels, Grafana dashboard design, and SLO/SLI definitions with error budget calculations. - Use Case: When preparing a service for production deployment, use this Skill to add Prometheus metrics middleware, configure latency and error-rate alerts with runbook links, and build a service health dashboard. ## Quick Start Add observability to my Node.js API service with structured logging, Prometheus metrics, and alerting rules for high error rates.