How would you monitor K-Means performance in production over time?

You monitor cluster stability, inertia drift, silhouette score trends, and feature distribution changes.

Production monitoring focuses on whether clusters remain meaningful as data evolves. Key signals include increasing inertia, decreasing silhouette score, cluster size imbalance, and centroid movement. Sudden shifts often indicate data drift or system issues.