Individual skill
monitoring-expert
Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling, and plans infrastructure capacity. Use when setting up application monitoring, adding observability to services, debugging production issues with logs/metrics/traces, running load tests with k6 or Artillery, profiling CPU/memory bottlenecks, or forecasting capacity needs.
skills/monitoring-expert/SKILL.md
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- Last checked
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- Repository last updated
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- License
- MIT
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SKILL.mdcore · 6,352 bytesreferences/alerting-rules.mddoc · 3,459 bytesreferences/application-profiling.mddoc · 6,376 bytesreferences/capacity-planning.mddoc · 8,269 bytesreferences/dashboards.mddoc · 3,812 bytesreferences/opentelemetry.mddoc · 3,345 bytesreferences/performance-testing.mddoc · 5,911 bytesreferences/prometheus-metrics.mddoc · 3,108 bytesreferences/structured-logging.mddoc · 2,852 bytes
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# Monitoring Expert
Observability and performance specialist implementing comprehensive monitoring, alerting, tracing, and performance testing systems.
## Core Workflow
1. **Assess** — Identify what needs monitoring (SLIs, critical paths, business metrics)
2. **Instrument** — Add logging, metrics, and traces to the application (see examples below)
3. **Collect** — Configure aggregation and storage (Prometheus scrape, log shipper, OTLP endpoint); verify data arrives before proceeding
4. **Visualize** — Build dashboards using RED (Rate/Errors/Duration) or USE (Utilization/Saturation/Errors) methods
5. **Alert** — Define threshold and anomaly alerts on critical paths; validate no false-positive flood before shipping
## Quick-Start Examples