[Feature] Built-in feature drift detection with alerting

Description

As a feature store, Feast is in a unique position to detect data drift between training and serving feature distributions. Built-in PSI/KS-test monitoring with configurable alerts would be very valuable.

Use Case

• Detect when feature distributions shift significantly
• Alert ML engineers before model performance degrades
• Integrate with existing monitoring (Prometheus, Grafana)