Monitoring machine learning models for bot detection

This post details Cloudflare's approach to monitoring machine learning models used for bot detection. It explains the importance of monitoring for maintaining model performance in production, especially against evolving threats. The post outlines the process of using ground-truth datasets, specializations for granular analysis, and the integration of monitoring into the Endeavor ML platform. It also describes the technical implementation of rendering monitoring queries, computing performance metrics, storing metrics, and running tasks on GPUs.