turash/concept/17_monitoring_observability.md

15. Monitoring & Observability

Recommendation: Comprehensive observability from day one.

Metrics to Track

Business Metrics (Daily/Monthly Dashboard):

• Active businesses: 500+ (Year 1), 2,000+ (Year 2), 5,000+ (Year 3)
• Sites & resource flows: 85% data completion rate target
• Match rate: 60% conversion from suggested to implemented matches
• Average savings: €25,000 per implemented connection
• Platform adoption: 15-20% free-to-paid conversion rate

Technical Metrics (Real-time Monitoring):

• API response times: p50 <500ms, p95 <2s, p99 <5s
• Graph query performance: <1s for 95% of queries
• Match computation latency: <30s for complex optimizations
• Error rates: <1% API errors, <0.1% critical errors
• Database connection pool: 70-90% utilization target
• Cache hit rates: >85% Redis hit rate, >95% application cache
• Uptime: >99.5% availability target

Domain-Specific Metrics:

• Matching accuracy: >90% user satisfaction with match quality
• Economic calculation precision: ±€100 accuracy on savings estimates
• Geospatial accuracy: <100m error on location-based matching
• Real-time updates: <5s delay for new resource notifications

Alerting

Critical Alerts:

• API error rate > 1%
• Database connection failures
• Match computation failures
• Cache unavailable

Warning Alerts:

• High latency (p95 > 2s)
• Low cache hit rate (< 70%)
• Disk space low

Tools:

• Prometheus: Metrics collection
• Grafana: Visualization and dashboards
• AlertManager: Alert routing and notification
• Loki or ELK: Logging (Elasticsearch, Logstash, Kibana)
• Jaeger or Zipkin: Distributed tracing
• Sentry: Error tracking

Observability Tools

• Metrics: Prometheus + Grafana
• Logging: Loki or ELK stack
• Tracing: Jaeger or Zipkin for distributed tracing
• APM: Sentry for error tracking
• OpenTelemetry: go.opentelemetry.io/otel for instrumentation

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