How to Authenticate MLflow with Azure Active Directory (Azure AD)

To authorize access to MLflow through Azure Active Directory (Azure AD), you can use various authentication methods depending on how and where MLflow is hosted.

Harold Finch provides a comprehensive guide on how to get authorized access to mlflow through Azure Active Directory in a post on Towards Data Science.

Harold's post, "Securing MLflow Tracking with Azure Active Directory," offers a clear and detailed explanation of the various authentication methods that can be used to authorize access to mlflow through Azure Active Directory (Azure AD). The post is written in a concise and engaging style, and it is easy to follow along with.

The post begins by introducing the different authentication methods that can be used with mlflow. These include OAuth 2.0 with Azure AD for securing the mlflow UI and REST API, Managed Identity for running mlflow on Azure services, and authentication via the mlflow client for use cases such as Jupyter Notebooks or Python scripts.

For each authentication method, Harold provides a step-by-step guide on how to set it up. The steps are clearly written and easy to understand, even for those who are not familiar with mlflow or Azure AD.