Amazon Enhances SageMaker MLflow External Access with REST API Proxy
TL;DR. AWS introduces a Flask-based REST API proxy to streamline HTTPS access for Amazon SageMaker MLflow, bypassing SDK requirements. - The solution allows secure integration of MLflow with existing enterprise systems, maintaining corporate security policies. - It addresses challenges for organizations undergoing cloud transformation with established ML workflows. - Key components include an Application Load Balancer, a Flask proxy service, and the SageMaker MLflow service.
- AWS provides a new method for external access to Amazon SageMaker MLflow.
- A Flask-based REST API proxy enables secure HTTPS integration without the MLflow SDK.
- The solution benefits organizations with strict security policies or legacy system constraints.
- It covers implementing the proxy, configuring IAM authentication, and managing URL pre-signing.
Sources
- Streamline external access to Amazon SageMaker MLflow using a REST API proxy — aws.amazon.com
- ft.com — ft.com