> For the complete documentation index, see [llms.txt](https://docs.nannyml.com/cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nannyml.com/cloud/v0.20.2/deployment/azure/azure-managed-application/enabling-access-to-storage.md). # Enabling access to storage How to ensure NannyML can access data stored in Azure Storage ## Using role assignments As a part of the deployment process, NannyML Cloud creates a managed identity aptly called **nannyml**. By granting that managed identity the correct roles and permissions, you can have the NannyML Cloud instance read data from a storage container!
### Setting permissions on your storage account 1. Navigate to your storage account using the Azure portal. In this example, we have a storage account with a container called **model-monitoring.** The access level has been set to private.\ \ There are three files present, representing reference data, analysis data, and target data. 2. Navigate to the **Access Control (IAM)** pane.

Accessing the access control settings for our storage container

3. Now click the **Add role assignment** button in the bottom left corner.

Navigating to the role assignment screen

4. This window will give you a very long overview of available roles. You can select any applicable role here, but something like **Blob Data Reader** should give sufficient permissions to read the data in this storage container.\ \ Search for the role using the search bar, select it and hit the **Next** button in the bottom left corner.\

5. Now you'll select the member to assign the role to. In this case you'll assign it to a **managed identity**, so select that option. Then hit the **+ Select members** link to open up the search pane.\

This is the managed identity you're looking for

6. In the search pane, first, select the subscription under which the NannyML Cloud managed application was deployed.\ \ In the **Managed identity** dropdown, select the **User-assigned managed identity** option. \ \ Finally, in the search bar under the **Select** header, filter for **nannyml** and select the correct option.

Searching for the correct managed identity

7. Confirm the selected member and hit the **Select** button.\

8. Now click the **Review + assign** button in the bottom left to create the role assignment.

### Setting up the data source in NannyML Cloud Now you can use the details of the storage container to access your data within NannyML cloud. 1. Set up a new model in NannyML Cloud. Select the **Upload via Azure Blob Storage** option.

2. Now provide the details about the storage container we've just tweaked the access control for. \ Note that we don't have to provide any kind of authentication token or key.

3. We now have access to the file!\