MLflow AWS RDS IAM Auth Plugins
===============================
MLflow plugins adding AWS RDS IAM authentication for tracking store and model registry store.
Requirements
------------
- Python 3.10+
- MLflow 2+
- Boto3
Only Postgres and MySQL are supported (the AWS RDS database engines supported by MLflow as remote backend store).
Installation
------------
```console
pip install mlflow-aws-rds-iam
```
Getting Started
---------------
The plugins are mainly intented for the use of MLflow in server mode, allowing [AWS RDS IAM authentication](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.IAMDBAuth.Connecting.html) for the backend store.
```console
mlflow server --backend-store-uri <database URI> --artifacts-destination <artifact store URI>
```
Configuration
-------------
If a *password* is provided in the database URI, AWS IAM authentication will be skipped, *effectively disabling the plugins*.
*Credentials* are required in order to use AWS IAM authentication. Refer to [Boto3 documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html) for configuration instructions.
*SSL connection to the database is enabled by default*, but can be disabled with the environment variable `MLFLOW_DISABLE_DB_SSL=true`.
Debug log of the plugins and underlying libraries (boto3, urllib3) can be enabled with `MLFLOW_AWS_RDS_IAM_DEBUG=true`.
License
-------
This project is licensed under the terms of the MIT license.
A [yzr](https://www.yzr.ai/) Free and Open Source project.
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