“observability”

Observability — an observability concept covering observability, trace, telemetry, span, audit.

Guide for instrumenting and operating observable software systems.

Choose observability tier by hardware: Grafana Cloud Free + Alloy (light), self-hosted Grafana+Prometheus+Loki single, or full LGTM (Mimir/Loki/Tempo RF=1+).

Practical observability guide for this workspace.

Expert at making systems observable and debuggable.

Observe systems: logging, metrics, tracing, health checks, graceful shutdown.

Instrument code so production behavior is visible and diagnosable — structured logs with correlation ids, metrics, traces, symptom-based alerts and minimal…

Use for correlated API failures, cascading errors, and distributed-system incident tracing.

Log and metrics analyst — reads .cladding/audit.log.jsonl, perf/baseline.json, and drift reports; surfaces patterns the human can act on.

Use when adding, reviewing, or debugging logs, metrics, traces, audit events, correlation IDs, lifecycle status, timestamps, retries, or error metadata in…

Use when instrumenting a service (structured logs, metrics, traces), defining SLOs or alerts, building a dashboard, or triaging a live production incident /…

Change trajectory logging, report generation, or runtime error reporting while preserving useful diagnostics and safe HTML output.

Structured logging, request correlation, Prometheus metrics, health probes, and sensitive data redaction.

Add or improve structured logging, metrics, tracing, health checks, error reporting, and operational diagnostics without leaking sensitive data.

Instrument AI workflows with tracing, logging, and monitoring to enable debugging, auditing, and performance analysis.

Use when Pi needs to troubleshoot logs/metrics/traces or verify LGTM (Grafana/Loki/Mimir/Tempo) access in local k3s, cloud Kubernetes, or any generic K8s setup.

ロギング、メトリクス、分散トレーシングのオブザーバビリティパターン。 Use when: 構造化ロギング、メトリクス/モニタリング、分散トレーシング、ヘルスチェック。 Trigger phrases: logging, metrics, tracing, monitoring, health check…

Structured logging with Pino/Winston, OpenTelemetry tracing, metrics collection, Grafana dashboards, and alerting rules.

Builds, configures, debugs, and optimizes AWS observability - operator-symptom questions and detecting Omni vs classic CloudWatch.

Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus.

Structured logging, distributed tracing, metrics, and health checks for Go services.

Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for…

Use for anything related to EAS Observe - adding `expo-observe` to an Expo project (AppMetricsRoot/ObserveRoot HOC, markInteractive and…

Unified observability gateway for AI agents — Prometheus, Loki & more, with anomaly detection.