Amazon SageMaker MLOps

What is Amazon SageMaker MLOps?

Amazon SageMaker MLOps provides purpose-built tools for machine learning operations (MLOps) to automate and standardize processes across the ML lifecycle, helping you train, test, deploy, and govern ML models at scale.

How does SageMaker MLOps improve model reproducibility?

SageMaker MLOps integrates with MLflow to track inputs and outputs across training iterations, improving repeatability of trials and fostering collaboration among data scientists. Additionally, ML Lineage Tracking logs every step of the workflow, creating an audit trail of model artifacts.

What is SageMaker Model Registry?

Amazon SageMaker Model Registry tracks model versions, their metadata (e.g., use case grouping), and model performance metrics in a central repository, simplifying model governance and selection.

How does SageMaker Model Monitor help maintain model quality?

SageMaker Model Monitor detects model drift and concept drift in real-time and sends alerts, enabling you to take immediate action to address anomalies. It integrates with SageMaker Clarify to improve visibility into potential bias.