Problem
As systems scaled, incidents were discovered too late. There was no unified visibility into application health, latency, or infrastructure metrics.
Key gaps:
- No proactive alerting
- No latency or error-rate visibility
- Logs scattered across services
- Manual, reactive debugging
Solution
Designed and implemented a production-grade observability stack:
- Prometheus for metrics collection
- Grafana for dashboards
- Alertmanager for alert routing
- Loki for centralized logging
- Node Exporter for system metrics
The stack supports local development, staging, and production parity.
Architecture Diagram
Add diagram here:
assets/images/architecture/infra-monitoring-architecture.png
Key Engineering Decisions
- Alert on rates and percentiles, not raw counts
- Separate infra metrics from business metrics
- Group alerts to prevent alert fatigue
- Docker-based setup for reproducibility
- Explicit retention and alert thresholds
Outcome & Impact
- 🚨 Incidents detected within 1–5 minutes
- ⏱️ MTTR reduced by ~60%
- 📉 90% reduction in customer-reported issues
- 📊 Clear dashboards for backend & infra teams