Amazon SageMaker Model Monitor Cheat Sheet
Joshua Emmanuel Santiago2026-01-12T09:02:21+00:00Bookmarks Features How It Works Implementation Use Cases Integration Best Practices Pricing A fully-managed, automated service within Amazon SageMaker that continuously monitors the quality of machine learning (ML) models in production. It automatically detects data drift and model performance decay, sending alerts so you can maintain model accuracy over time without building custom monitoring tools. Features Automated Data Capture & Collection Configures your SageMaker endpoints to capture a specified percentage of incoming inference requests and model predictions. This data, enriched with metadata (timestamp, endpoint name), is automatically stored in your [...]
