AWS ML BlogSaturday · May 30, 2026FREE

Build a custom portal with embedded Amazon SageMaker AI MLflow Apps

The AWS ML Blog published a post on May 28, 2026, detailing how to build a custom portal with embedded Amazon SageMaker AI MLflow Apps UI. The architecture combines a React frontend with a Flask reverse proxy that handles AWS Signature Version 4 (SigV4) authentication, allowing secure access to MLflow Apps within a custom interface. The entire stack is deployed using the AWS Cloud Development Kit (AWS CDK), which automates infrastructure provisioning. The guide includes steps for validation, security considerations, and cleanup procedures. This approach enables organizations to integrate MLflow's experiment tracking and model management capabilities into their own internal platforms while maintaining AWS IAM-based access control. The solution is particularly useful for teams that need a unified interface for multiple ML tools or want to embed MLflow functionality into existing dashboards. The post assumes familiarity with React, Flask, and AWS CDK, and provides code examples for implementation. No specific pricing or regional availability is mentioned beyond standard SageMaker and CDK costs.