This repository is a curated collection of MLOps references, covering areas such as ML workflow management, feature stores, data engineering, model deployment and serving, testing, monitoring, and infrastructure. It aggregates resources across books, papers, articles, talks, and existing ML systems, serving as a comprehensive index for ML engineering and operations practices.