Monitoring & Observability Stack
Prometheus & Grafana Implementation
Designed and implemented a comprehensive monitoring and observability stack for production SaaS application. Includes custom metrics, alerting rules, and interactive Grafana dashboards tracking system health, performance, and business metrics.
Summary
- Problem: Designing meaningful metrics without overwhelming the system
- Role: DevOps Engineer & System Architect
- Impact: Reduced mean time to detection (MTTD) by 70% with proactive alerts
DevOps
Monitoring
Observability
Infrastructure
Role
DevOps Engineer & System Architect
Tech Stack
Prometheus
Grafana
Docker
Node.js
PostgreSQL
Impact & Achievements
- Reduced mean time to detection (MTTD) by 70% with proactive alerts
- Built dashboards tracking API performance, database queries, and user activity
- Implemented custom business metrics for product insights
- Created alerting rules for critical system thresholds
Challenges & Solutions
- Designing meaningful metrics without overwhelming the system
- Correlating logs, metrics, and traces for debugging
- Setting appropriate alert thresholds to minimize false positives
- Managing dashboard complexity for different stakeholders