Spikiness App
Overview
Developed a real-time data visualization application for monitoring system performance spikes across distributed infrastructure, with customizable alert thresholds and historical analysis.
Background
This specialized monitoring tool helps DevOps teams identify and analyze performance anomalies in distributed systems. I built the backend with Node.js and Socket.IO for real-time data streaming, with InfluxDB for time-series data storage. The frontend uses React with D3.js for interactive, real-time visualizations of performance metrics. The application features customizable dashboards, alert configurations based on statistical anomaly detection, and automated reporting. The system has helped teams reduce incident response times by providing instant visibility into system behavior patterns. Technical metrics: ~6,300 lines of code, 30+ visualization components, <50ms latency for real-time updates, and historical data analysis spanning 12+ months with efficient time-series compression.
Preview
