Generate reports

Reporting transforms raw operational data into actionable insights by aggregating monitoring metrics, observability traces, and system logs. This consolidated view reveals patterns in feature usage, system performance, and resource consumption. Beyond technical monitoring, these insights drive business decisions by highlighting user behavior, identifying optimization opportunities, and quantifying the impact of technical investments. For AI systems, structured reporting provides training data and validation metrics that improve automation accuracy.

Implement a centralized reporting system that combines data from multiple sources using standardized formats and consistent metrics. Reports should be automated, scheduled regularly, and accessible to both technical and business stakeholders. Focus on key performance indicators that align with business objectives, while maintaining granular technical details for debugging. Include trend analysis and anomaly detection to proactively identify issues and opportunities for optimization.