Amazon SageMaker with MLflow now supports AWS PrivateLink for secure traffic routing

This article discusses the new support for AWS PrivateLink in Amazon SageMaker with MLflow, which allows secure and private data transfer from a Virtual Private Cloud (VPC) to MLflow Tracking Servers, avoiding exposure to the public internet.

Specifically, the article covers:

• Introduction to AWS PrivateLink and its benefits for secure data transfer
• How MLflow is used for organizing, tracking, and analyzing machine learning experiments
• The ability to set up and manage MLflow Tracking Servers in Amazon SageMaker Studio
• Steps to create an AWS PrivateLink connection to MLflow Tracking Servers using the AWS Management Console or CLI
• Availability of this feature in all AWS regions where Amazon SageMaker is available, except for China and GovCloud regions