Google Cloud Storage
This guide describes how to connect Aporia to a Google Cloud Storage (GCS) data source in order to monitor your ML Model in production.
We will assume that your model inputs, outputs, and optionally delayed actuals are stored in a file in GCS. Currently, the following file formats are supported:
parquetjson
This data source may also be used to connect to your model's training dataset to be used as a baseline for model monitoring.
In order to provide access to GCS, you'll need to update your Aporia Dataproc worker service account with the necessary API permissions.
- 1.Select the buckets where your data is stored.
- 2.Click on the permissions button:
On the Permissions tab, click on the Add Principal button.
On the Grant access page, do the following:
- 1.Add the Aporia Dataproc Worker Service Account as a principal.
- 2.Assign the Storage Object Viewer role
- 3.Click Save.
Now Aporia has the read permission it needs to connect to the GSC buckets you have granted permissions.
- 1.
- 2.Go to the Integrations page and click on the Data Connectors tab
- 3.Scroll to Connect New Data Source section
- 4.Click Connect on the GCS card and follow the instructions
Bravo! now you can use the data source you've created across all your models in Aporia.
👏
Last modified 3mo ago