“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+).

Observability as an engineering discipline — wide events / canonical log lines, OpenTelemetry instrumentation (traces, metrics, context propagation, sampling…

Practical observability guide for this workspace.

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.

Instrument, monitor, and debug production systems.

Instruments a feature so production behavior is diagnosable before the first incident: structured logs, RED/USE metrics, traces, symptom alerts.

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

Design and review logging, metrics, alerts and SLOs for services — mainly Spring Boot on OpenShift with logs in Elasticsearch/Kibana and metrics through…

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.

Instrument AI agents with tracing, token metrics, latency, and cost visibility.

Answer questions about LLM and agentic-application behavior from data already ingested into Elastic: latency and error rate, token and cost utilization…

Scaffold-time observability so a shipped product is not blind in prod from day one — error capture (Sentry), request-id structured logging, and /healthz +…

Onboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a…

Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace agent reasoning, detect silent failures, and measure performance before…

Open-source AI observability platform for LLM tracing, evaluation, and monitoring.

Audit observability for a service or system: structured logging, metrics for golden signals, distributed tracing, dashboard quality, alert noise, SLO…