MLFlow Tracking Server on Azure
This repository provides necessary artefacts to quicky and easily deploy an MLflow Tracking server on Azure.
MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
Deployment Options
All deployment options come with an automated deployment script. Select one of the following for deployment instructions/scripts:
- Deploy to Azure Container Instances (ACI)
- Deploy to Azure Kubernetes Service (AKS)
- Azure Ubuntu Virtual Machine - TODO
DISCLAIMER: These deployment scripts do not come with security measures in place. As per recommendation from MLflow documentation:
If running a server in production, we would recommend not exposing the built-in server broadly (as it is unauthenticated and unencrypted), and instead putting it behind a reverse proxy like NGINX or Apache httpd, or connecting over VPN.