Artificial Intelligence
Author: Manish Garg
Manish Garg is a DevOps Consultant with AWS Professional Services, specializing in migrating and modernizing customer workloads on the AWS Cloud. He possesses a profound enthusiasm for technology, coupled with a keen interest in the realms of DevOps practices.
Build a custom portal with embedded Amazon SageMaker AI MLflow Apps
In this post, you learn how to build a custom portal with embedded SageMaker AI MLflow Apps UI. You walk through the architecture pattern behind a React front end paired with a Flask reverse proxy that handles AWS Signature Version 4 (SigV4) authentication, deploy the entire stack through the AWS Cloud Development Kit (AWS CDK), validate the deployment, and review security considerations and cleanup procedures.
Streamline external access to Amazon SageMaker MLflow using a REST API proxy
In this post, we demonstrate how to build a secure Flask-based MLflow proxy service that provides HTTPS access to Amazon SageMaker MLflow without requiring the MLflow SDK. This solution is for organizations undergoing cloud transformation who want to preserve their existing ML workflows while adopting cloud-native services.