Feast helps teams operate production ML systems at scale by allowing them to define, manage, validate, and serve features for production AI/ML. Feast's feature store is composed of two foundational components: (1) an offline store for historical feature extraction used in model training and (2) an online store for serving features at low-latency in production systems and applications. It is a configurable operational data system that re-uses existing infrastructure to manage and serve machine learning features to real-time models.