Performance Optimization and Monitoring

[underscorekadji]

Problem Description

The application currently lacks comprehensive performance monitoring and optimization mechanisms. We need to implement performance tracking, optimization strategies, and monitoring tools to ensure the system meets the target of 3,000 concurrent connections across 100 rooms.

Acceptance Criteria

• Implement application performance monitoring (APM) integration
• Add Redis connection pooling and optimization
• Create Socket.IO performance monitoring and metrics
• Implement request/response time tracking
• Add memory usage monitoring and leak detection
• Create performance benchmarking and load testing utilities
• Implement caching strategies for frequently accessed data
• Add performance alerts and automated scaling triggers

Technical Details

• Integrate performance monitoring tools (e.g., New Relic, DataDog, or custom metrics)
• Implement Redis connection pooling with optimal pool sizes
• Add Socket.IO connection metrics and room-based performance tracking
• Create middleware for request timing and performance logging
• Implement memory profiling and garbage collection monitoring
• Add caching layers for room data and frequent operations
• Create performance testing suites with realistic load scenarios
• Implement auto-scaling triggers based on performance metrics

Estimate: 6 story points

This will ensure the application meets performance requirements and provides visibility into system health.