Problem Statement
Organizations struggle to monitor security threats and operational metrics in real-time. Existing solutions are either too complex, too expensive, or lack the scalability needed for growing infrastructure.
Solution
ThreatIQ provides a unified dashboard for security monitoring and analytics. Built with Go for high-performance backend processing and Next.js for a responsive frontend, it delivers real-time insights with minimal latency.
System Architecture
Go Backend
High-performance API server handling thousands of concurrent connections
PostgreSQL
Optimized schema for time-series security data and analytics
Threat Detection
Real-time anomaly detection using statistical analysis
Real-time Updates
WebSocket connections for instant dashboard updates
Challenges & Solutions
High-Volume Data Processing
Implemented Go's goroutines for concurrent processing, handling 10,000+ events per second with minimal memory footprint.
Real-time Dashboard Updates
Used WebSocket connections with intelligent batching to push updates to the frontend without overwhelming the client.
Key Takeaways
- Go's concurrency model is ideal for high-throughput backend systems
- PostgreSQL time-series optimizations significantly improve query performance
- WebSocket batching reduces frontend re-renders while maintaining real-time feel