<aside> đĄ A step-by-step guide to setting up Azure integration in the Trustible platform.
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To set-up this connection, you will need to set-up a dedicated "Application" and provide details related to your subscriptions. We take your privacy seriously, so you will be able to delete these credentials and revoke access at any time.
For fine-grained control, you will need to set-up a separate Integration for each Machine Learning Workspace. These items can share the same Application.
Log-in to your Azure Portal and navigate to [App Registration]
Click âRegister New Applicationâ
Name the new application Trustible (or a similar unique name) and click Register

From the new Application page, record the Application ID and the Directory ID:

Next, you will need to generate a Client Secret - click on âAdd a certificate or a secretâ next to âClient Credentialsâ

You will be redirected to the âCertificates and Secretsâ tab.
You are now done setting up the application. These are the first three values for the Azure Integration Formâ
To interact with your ML systems, you will need to give the âTrustibleâ Application access to the Subscriptions that contain your ML Workspace
Navigate to âSubscriptionsâ in the Azure Portal: https://portal.azure.com/#view/Microsoft_Azure_Billing/SubscriptionsBlade
Select the Subscription associated with your ML Systems.
Copy the Subscription ID into the Trustible Form.

From this Subscriptionâs page, set-up IAM Permissions:
Use the Azure Portal to navigate to the Subscription Page
Navigate to IAM and click to Add a new Role

Select the Reader role (You can further customize permissions, this gives READ-ONLY access to all resources in this subscription)

For Members, click â+ Select Membersâ. The application may not show up by default, and you may need to type it in the search

Click Review + Assign
For additional details, review this Azure Guide: https://learn.microsoft.com/en-us/azure/role-based-access-control/role-assignments-portal?view=azureml-api-2&tabs=delegate-condition