Observability Engineering

Production-grade observability engineering for AI agents. Covers the full observability lifecycle: OpenTelemetry instrumentation, metrics collection, structured logging, distributed tracing, SLI/SLO management, alert design, and incident response workflows.

When to Use This Skill

Invoke this skill when the user asks to:

• Instrument a service, application, or library with OpenTelemetry
• Set up monitoring dashboards, alerts, or metrics pipelines (Prometheus, Grafana, Datadog)
• Design SLOs/SLIs with error budgets and burn-rate alerts
• Configure distributed tracing with sampling strategies and context propagation
• Aggregate logs with structured JSON logging, trace correlation, and PII redaction
• Build incident response runbooks, communication templates, and postmortems
• Manage observability-as-code via Terraform/Pulumi for dashboards and alerts
• Optimize observability costs through cardinality management and retention policies

Do NOT use this skill for: general bug fixes (use code-review), Kubernetes deployment configuration (use a k8s skill), or generic DevOps questions without an observability intent.