Production Model Monitoring
Monitoring a model in production
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My [CONTEXT] model has been in production for [DURATION]. Design a comprehensive monitoring system covering: performance tracking (business and ML metrics), data drift detection on features [FEATURE_LIST], automatic alerts, and a monitoring dashboard. Propose the tools and architecture.
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Astuce : précisez la fenêtre de référence pour le data drift (ex. 30 jours glissants vs données d’entraînement) et définissez des seuils d’alerte par métrique, sinon le tableau de bord noie sous les faux positifs. Ajoutez aussi le suivi de la latence d’inférence et du taux d’erreur API, souvent critiques en production.
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