Streamline external access to Amazon SageMaker MLflow using a REST API proxy

This post demonstrates how to build a secure Flask-based MLflow proxy service providing HTTPS access to Amazon SageMaker MLflow without the SDK. The solution targets organizations undergoing cloud transformation, aiming to preserve existing ML workflows while adopting cloud-native services.