feat: geneva/azure deployment docs

Author: rpgreen

docs/geneva/deployment/helm.mdx

@@ -61,6 +61,12 @@ geneva:
     # It should also have r/w access to the object storage bucket.
     # e.g., arn:aws:iam::123456789012:role/geneva-client-role
     clientRoleArn: ""
+
+  azure:
+    # Azure managed identity client ID for the Geneva client.
+    # This identity should have a federated credential for the Geneva namespace
+    # and Storage Blob Data Contributor role on the storage account.
+    clientPrincipalId: ""
 ```
 
 3. Install kuberay operator

docs/geneva/deployment/index.mdx

@@ -12,12 +12,14 @@ Feature Engineering is deployed automatically as part of [LanceDB Enterprise](/e
 For manual installation in self-managed environments, follow the instructions below.
 </Tip>
 
+Feature Engineering can be deployed as part of LanceDB Enterprise in managed or self-managed environments. First class support is provided for Azure, AWS, and GCP, including deployment automation via Terraform and Helm.
+
 ## Prerequisites
 
 - Kubernetes cluster with KubeRay 1.1+ operator installed
 - Ray 2.43+
 
-See below for installation instructions for:
+See below for manual installation instructions for:
 - Amazon Web Services (AWS) Elastic Kubernetes Service (EKS)
 - Google Cloud Platform (GCP) Google Kubernetes Engine (GKE)