Adaptive Network Traffic Anomaly Detection System

Design a Python-based network monitoring solution using machine learning to detect and predict infrastructure anomalies. The system should integrate with existing logging frameworks, use advanced statistical models to establish baseline network behavior, and automatically generate actionable alerts with root cause analysis. Implement real-time processing capabilities, support multiple data sources, and create a flexible alerting mechanism that adapts to changing network conditions.