10 Essential Elements of Machine Learning System Architecture
The article outlines ten core components—data and feature pipelines, feature store, training and retraining pipelines, metadata store, serving infrastructure, production monitoring, reusable ML pipelines, workflow orchestration, CI/CT/CD, and end‑to‑end quality control—that together form a scalable, reliable architecture for modern machine‑learning systems.
