Agent skill · data analytics · thebushidocollective

sre-monitoring-and-observability

Use when building comprehensive monitoring and observability systems.

Why this skill is useful

Provides specific Prometheus queries and alerting rules that enhance observability practices not commonly known to the AI.

What it needs

About 2k tokens when loaded. Last updated 2026-07-19. 187 stars on the source repository.

What this skill does

SRE Monitoring and Observability Building comprehensive monitoring and observability systems. Four Golden Signals Latency Time to process requests: Traffic Demand on the system: Errors Rate of failed requests: Saturation Resource utilization: Service Level Indicators (SLIs) Availability SLI Latency SLI Throughput SLI Alerting Alert Severity Levels P0 - Critical: Service down or severe degradation P1 - High: Significant impact, error budget at risk P2 - Medium: Degradation, not user-facing yet P3 - Low: Awareness, no immediate action needed Example Alerts Dashboards Overview Dashboard Service health (red/yellow/green) Request rate Error rate Latency percentiles (p50, p95, p99) Saturation metrics Detailed Dashboard Per-endpoint metrics Dependency health Database performance Cache hit rates Queue depths Distributed Tracing OpenTelemetry Structured Logging Best Practices USE Method For resources: Utilization: % time resource is busy Saturation: Work queued but not serviced Errors: Error count RED Method For requests: Rate: Requests per second Errors: Failed requests per second Duration: Request latency distribution Alert on Symptoms, Not Causes Runbook Links

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills thebushidocollective/sre-monitoring

View the source on GitHub

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