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12 changes: 6 additions & 6 deletions docs/getting_started.md
Original file line number Diff line number Diff line change
Expand Up @@ -313,15 +313,15 @@ Keep the Azure Container Instances deployment active because it's a lightweight

In the Variables tab, edit your variable group (`devopsforai-aml-vg`). In the variable group definition, add these variables:

| Variable Name | Suggested Value |
| ------------------- | --------------- |
| AKS_COMPUTE_NAME | aks |
| AKS_DEPLOYMENT_NAME | mlops-aks |

Set **AKS_COMPUTE_NAME** to the _Compute name_ of the Inference Cluster that references the Azure Kubernetes Service cluster in your Azure ML Workspace.
| Variable Name | Suggested Value | Description |
| ------------------- | --------------- | ----------- |
| AKS_COMPUTE_NAME | aks | The Compute name of the inference cluster, created in the Azure ML Workspace (ml.azure.com). This connection has to be created manually before setting the value! |
| AKS_DEPLOYMENT_NAME | mlops-aks | The name of the deployed aks cluster in your subscripttion. |

After successfully deploying to Azure Container Instances, the next stage will deploy the model to Kubernetes and run a smoke test.

Set **AKS_COMPUTE_NAME** to the _Compute name_ of the Inference Cluster that references the Azure Kubernetes Service cluster in your Azure ML Workspace.

![build](./images/multi-stage-aci-aks.png)

Consider enabling [manual approvals](https://docs.microsoft.com/en-us/azure/devops/pipelines/process/approvals) before the deployment stages.
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