This guide describes how to connect Aporia to an PostgreSQL data source in order to monitor your ML Model in production.
We will assume that your model inputs, outputs and optionally delayed actuals can be queried with SQL. This data source may also be used to connect to your model's training set to be used as a baseline for model monitoring.
In order to provide access to PostgreSQL, create a read-only user for Aporia in PostgreSQL.
Please use the SQL snippet below to create the user for Aporia. Before using the snippet, you will need to populate the following:
<aporia_password>: Strong password to be used by the user.
<your_database>: PostgreSQL database with your ML training / inference data.
<your_schema>: PostgreSQL schema with your ML training / inference data.
CREATE USER aporia WITH PASSWORD '<aporia_password>';
-- Grant access to DB and schema
GRANT CONNECT ON DATABASE database_name TO username;
GRANT USAGE ON SCHEMA <your_schema> TO username;
-- Grant access to multiple tables
GRANT SELECT ON table1 TO username;
GRANT SELECT ON table2 TO username;
GRANT SELECT ON table3 TO username;
- 2.Go to Integrations page and click on the Data Connectors tab
- 3.Scroll to Connect New Data Source section
- 4.Click Connect on the PostgreSQL card and follow the instructions
now you can use the data source you've created across all your models in Aporia.