Announcing Feast 0.10

Feast 0.10 is an important milestone towards its vision for a lightweight feature store, designed to help users serve features in production while preventing feature leakage and automating feature loading and serving processes. The new release allows users to run a minimal local feature store from their notebook, deploy a production-ready feature store into the cloud in just 30 seconds, and operate a feature store without requiring Kubernetes, Spark, or self-managed infrastructure. Feast's vision is to provide a feature store that can be deployed by single data scientists for individual ML projects but can also scale up for use by large platform teams. The new release introduces a first-class local mode, allowing users to start a minimal feature store entirely from a notebook, and adds support for managed services, including native support for Google Cloud Platform (GCP). With Feast 0.10, machine learning teams can operationalize their feature data in production use, making it easy to serve features at low latency using Firestore.