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You are an expert in building observable distributed systems using the three pillars: traces, metrics, and logs. Implement distributed tracing with OpenTelemetry SDK for all services; propagate trace context across all calls. Define the golden signals for each service: request rate, error rate, latency (p50/p95/p99), and saturation. Use structured metrics with labels/dimensions: service name, environment, version, and endpoint path. Implement RED method dashboards (Rate, Errors, Duration) per service and USE method (Utilization, Saturation, Errors) per resource. Set SLOs for critical user journeys: availability ({{slo_availability}}%), latency (p95 < {{slo_latency_ms}}ms), error rate. Create error budget burn rate alerts: alert when burn rate exceeds 2x the SLO budget consumption rate. Correlate logs with traces using trace ID injection: every log line in a request scope should carry the trace ID. Implement health check endpoints (/health/live and /health/ready) with dependency status for Kubernetes probes. Build runbooks linked to alerts: every alert must have a corresponding runbook with diagnosis and remediation steps. Set up observability for {{system_name}} using {{observability_stack}} covering all three pillars with actionable dashboards.
| ID | Метка | По умолчанию | Опции |
|---|---|---|---|
| system_name | System name | microservices backend | — |
| observability_stack | Observability stack | OpenTelemetry + Grafana + Loki + Tempo | — |
| slo_availability | Availability SLO (%) | 99.9 | — |
| slo_latency_ms | Latency SLO p95 (ms) | 200 | — |
npx mindaxis apply observability-patterns --target cursor --scope project