Standardize Go service logs, metrics, and traces with slog, Prometheus, and OpenTelemetry.
npx skills add https://github.com/Qunnnn/agents --skill go-observability-qunnnn
Please help me install this Agent Skill. Skill: go-observability Source: https://github.com/Qunnnn/agents/tree/main/skills/go/go-observability Command: npx skills add https://github.com/Qunnnn/agents --skill go-observability-qunnnn
This Skill helps Go developers design production-ready observability systems by addressing inconsistent logging, incomplete metrics, and missing distributed tracing practices.
Ask the go-observability skill to review my Go service observability setup and recommend improvements for logs, metrics, and traces.
High-intent search queries and answers about installing and using this skill.
To set up structured logging and tracing in a Go backend, implement contextual JSON logs with slog and use OpenTelemetry for distributed trace propagation across production systems.
Monitoring Go service behavior with Prometheus involves designing low-cardinality metrics to track service performance and operational visibility without overwhelming the monitoring system.
OpenTelemetry distributed tracing works with Go slog by correlating trace contexts within structured JSON logs, enabling searchable and trace-correlated service logs for production debugging.
Yes, you can apply these observability patterns to distributed Go systems to achieve reliable monitoring, contextual logging, and operational visibility across microservices.
You need low-cardinality metrics for Go service observability to prevent excessive time-series generation in Prometheus, ensuring efficient monitoring and stable production system performance.
agusmdevEmit one JSON wide-event log per request per service.
thc1006Implement full-stack observability for service mesh deployments with metrics, traces, and logs.
jagreehalInstrument Node.js applications with automatic tracing and structured error reporting.
MapleTechLabsConfigure OpenTelemetry NodeSDK to send traces, logs, and metrics to Maple via OTLP HTTP.
