Feast, an open-source feature store for machine learning (ML), has gained popularity due to its flexibility and ease of use. It enables efficient scaling of ML practices in production by addressing common data engineering challenges such as managing relationships between offline and online stores. The feast-cassandra plugin allows developers to configure DataStax Astra DB or any Apache Cassandra® cluster as the online data store for Feast, offering advantages like handling big data and leveraging resilient architecture for predictions. With its Python API and compatibility with various data sources and online data stores, Feast serves as a valuable component of modern AI/ML data stacks.