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6 changes: 6 additions & 0 deletions docs/geneva/deployment/helm.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -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
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5 changes: 3 additions & 2 deletions docs/geneva/deployment/index.mdx
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Expand Up @@ -8,16 +8,17 @@ icon: cogs
<Tip>
**Feature Engineering is deployed automatically in LanceDB Enterprise**

Feature Engineering is deployed automatically as part of [LanceDB Enterprise](/enterprise/).
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)

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