Production ML — Monitoring, Serving, Scale

Training a model is the easy half. The hard half is the next twelve months: catching the drift before users do, knowing whether a green dashboard actually means a healthy model, and proving a retrain is safe before it ships. The production side of the MAANG interview, owned the same way — study, mock, then build the intuition in public.