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You'll notice that the layout is similar to what you might see in the Azure portal.Ĭonveniently, you can launch the creation of a SQL managed instance or PostgreSQL Hyperscale server group by clicking the + New Instance button. You can see a list of all of the managed database resources managed by the data controller as well. Here you can see details about the data controller resource such as name, region, connection mode, resource group, subscription, controller endpoint, and namespace. Right-click on the data controller in the Connections panel in the Arc Controllers expandable panel and choose Manage. Azure Data Studio has dashboards for the data controller and any SQL managed instances or PostgreSQL Hyperscale server group resources that you have. Optionally add a display name for the Azure Arc data controller in the input for Name.Īfter you connect to a data controller, you can view the dashboards. If you need to retrieve the namespace where the Azure Arc data controller is deployed, you can run kubectl get datacontrollers -A on your Kubernetes cluster. If this is the right cluster to connect to, use that namespace.
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Connect to a data controller PrerequisitesĮxpand the panel called Azure Arc Controllers.Īzure Data Studio opens a blade on the right side.Įnter the Namespace for the data controller.Īzure Data Studio reads from the nfig file in your default directory and lists the available Kubernetes cluster contexts. These views are called dashboards and have a layout and options similar to what you could see about a given resource in the Azure portal, but give you the flexibility of seeing that information locally in your environment in cases where you don't have a connection available to Azure. Azure Data Studio provides an experience similar to the Azure portal for viewing information about your Azure Arc resources.