monitoring-observabilitylisted

# Monitoring & Observability Skill ## Purpose Standards for monitoring, metrics, alerting, and observability. ## Auto-Invoke Triggers - Setting up monitoring infrastructure - Defining metrics and KPIs - Configuring alerts - Implementing distributed tracing --- ## Three Pillars of Observability | Pillar | Purpose | Tools | |--------|---------|-------| | **Logs** | Event records | ELK, Loki, CloudWatch | | **Metrics** | Numerical measurements | Prometheus, Datadog | | **Traces** | Request flow | Jaeger, Zipkin, X-Ray | --- ## Key Metrics (Golden Signals) ### The Four Golden Signals | Signal | Description | Example Metric | |--------|-------------|----------------| | **Latency** | Response time | p50, p95, p99 latency | | **Traffic** | Request volume | Requests per second | | **Errors** | Failure rate | Error percentage | | **Saturation** | Resource usage | CPU, memory utilization | ### RED Method (Request-focused) - **R**ate - Requests per second - **E**rrors - Failed requests per second - **D**uration - Request latency ### USE Method (Resource-focused) - **U**tilization - Resource % used - **S**aturation - Queue depth - **E**rrors - Error count --- ## Application Metrics ### HTTP Endpoints | Metric | Type | Description | |--------|------|-------------| | `http_requests_total` | Counter | Total requests | | `http_request_duration_seconds` | Histogram | Request latency | | `http_requests_in_flight` | Gauge | Active requests | | `http_response_size_bytes` | Histogram