April 2026 monthly summary for red-hat-data-services/feast. Delivered HTTP Transport for the Model Context Protocol (MCP) in the Feast Feature Server, expanding feature retrieval via HTTP and broadening client compatibility. Updated configuration, server setup, and documentation to streamline integration and onboarding. Implemented a series of fixes and quality improvements (logging, tests, and review-driven changes) to enhance stability and maintainability. The work demonstrates strong collaboration, rigorous code quality, and a clear path to wider adoption of Feast MCP HTTP transport.

March 2026 monthly summary focusing on delivering business value and technical accomplishments across Feast and Ray repos. Key features delivered include ARM Docker image builds for Feast feature server with smoke tests and multi-architecture CI updates, and date partition column support in BigQuery queries enabling partition pruning for faster data retrieval and lower costs. Major reliability improvements include skipping _SUCCESS files in Parquet directories (with regression tests) and fixing the Ray Event Export API to emit all task execution phases for complete timeline reconstruction. These efforts were supported by strengthened CI, added tests, and code quality improvements, driving faster deployments, reduced compute costs, and more reliable data pipelines across teams.

February 2026 monthly summary for opendatahub-io/feast: Delivered schema-aware PostgreSQL pgvector connection handling to support pgvector in non-default PostgreSQL schemas by adjusting the search_path during connection setup, improving multi-schema deployments and data retrieval consistency.