Predictive Performance Anomaly Detection Framework

Develop a machine learning-powered performance monitoring framework that can predict and preemptively alert on potential system degradation. Implement statistical modeling that combines time-series analysis, machine learning clustering, and real-time telemetry to detect subtle performance anomalies before they become critical. Include automatic root cause hypothesis generation and recommended mitigation strategies.