Enterprise Monitoring Dashboard
Infrastructure Observability & Alerting
High-density infrastructure monitoring platform providing real-time telemetry, log aggregation, and predictive anomaly detection.
The Problem
Fragmented monitoring tools (logs, metrics, traces) led to high Mean Time To Detection (MTTD) and operator fatigue from tool-switching during incidents.
Architecture
Developed a unified observability dashboard in Next.js that aggregates data from InfluxDB (metrics) and custom Rust-based log collectors.
Decision Log
"Chose Rust for the log collection agents to minimize host overhead. InfluxDB was selected for its superior compression and query performance on time-series data."
Performance
Optimization
Implemented a custom query caching layer that stores frequent time-series aggregations, reducing dashboard load times by 70%.
Scaling Logic
The dashboard backend is stateless and scales behind a load balancer. The data layer uses InfluxDB Enterprise for high availability and horizontal scaling.
Challenges
Visualizing high-cardinality data without crashing the browser. Implemented data downsampling and canvas-based rendering for complex time-series charts.
Final Impact
Reduced Mean Time To Recovery (MTTR) for a major logistics firm by 45%, saving estimated millions in potential downtime costs.