AWS Simplifies SageMaker MLflow App Access with Custom Portal
TL;DR. AWS details building a custom portal to embed Amazon SageMaker AI MLflow Apps, streamlining access management for large ML teams. - The solution employs a React frontend, Flask reverse proxy with SigV4 authentication, and AWS CDK deployment. - It provides a persistent, bookmarkable URL for the full MLflow web UI without presigned URLs or AWS Console access. - The architecture integrates with existing SSO, reducing onboarding and operational overhead for administrators.
- AWS provides a step-by-step guide for deploying a custom portal for Amazon SageMaker AI MLflow Apps.
- This solution simplifies access management for ML teams, eliminating the need for presigned URLs or direct AWS Console access.
- The architecture leverages React, Flask, and AWS CDK for secure, SSO-integrated deployment of the MLflow UI.
Sources
- Build a custom portal with embedded Amazon SageMaker AI MLflow Apps — aws.amazon.com