Build a custom portal with embedded Amazon SageMaker AI MLflow Apps
TL;DR
Walk through building a custom portal with embedded SageMaker AI MLflow Apps UI, using a React frontend and a Flask reverse proxy for AWS Signature Version 4 authentication. The full stack is deployed via AWS CDK, then validated end to end. The piece also covers security considerations and cleanup procedures for a production setup.
Nauti's Take
Embedding MLflow in your own portal on SageMaker is a useful opportunity to consolidate ML ops and compliance in one place, especially in regulated industries. The catch: CDK, SigV4 and React together raise the entry complexity and tie teams to AWS-specific patterns.
Shops already living in AWS clearly benefit; everyone else should evaluate open-source alternatives first.
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