Monitor the application

Comprehensive monitoring of system interactions - from user actions to backend processes - provides vital insights into application performance and user behavior. This data creates a complete picture of system health, helping teams identify bottlenecks, troubleshoot issues, and understand usage patterns. For AI systems, this monitoring data serves as a crucial training source, enabling automated anomaly detection, predictive maintenance, and performance optimization while establishing patterns for normal system behavior.

Implement a unified monitoring strategy that captures both technical metrics and business events. Deploy instrumentation at key interaction points using standardized logging formats that include context, timestamps, and relevant metadata. Establish baseline metrics for normal operation and set up automated alerts for deviations. Store monitoring data in a structured format that facilitates both human analysis and machine learning applications, while maintaining appropriate data retention policies.