This post details how to build a custom portal embedding SageMaker AI MLflow Apps UI. It covers the React front end and Flask reverse proxy architecture, AWS CDK deployment, SigV4 authentication, and security aspects.
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.
Amazon SageMaker AI MLflow Apps now support MLflow version 3.10, bringing enhanced capabilities for generative AI development and streamlined experiment tracking. This update introduces powerful new features for observability and evaluation in generative AI workflows.