EDUCATION & TRAINING
Streamline external access to Amazon SageMaker MLflow using a REST API proxy
AWS ML Blog
About This Tutorial
In this post, we nstrate how to build a secure Flask-based MLflow proxy service that provides HTTPS access to Amazon SageMaker MLflow without requiring the MLflow SDK. This solution is for organizations undergoing cloud transformation who want to preserve their existing ML workflows while adopting cloud-native services.