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)
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