Remove preview mentions

dominicbetts · dominicbetts · commit d4434ddcf984 · 2024-11-04T15:10:23.000Z
diff --git a/articles/iot-operations/connect-to-cloud/howto-configure-adlsv2-endpoint.md b/articles/iot-operations/connect-to-cloud/howto-configure-adlsv2-endpoint.md
@@ -351,7 +351,7 @@ dataLakeStorageSettings:
 
 ### User-assigned managed identity
 
-To use user-managed identity for authentication, you must first deploy Azure IoT Operations with secure settings enabled. To learn more, see [Enable secure settings in Azure IoT Operations Preview deployment](../deploy-iot-ops/howto-enable-secure-settings.md).
+To use user-managed identity for authentication, you must first deploy Azure IoT Operations with secure settings enabled. To learn more, see [Enable secure settings in Azure IoT Operations deployment](../deploy-iot-ops/howto-enable-secure-settings.md).
 
 Then, specify the user-assigned managed identity authentication method along with the client ID, tenant ID, and scope of the managed identity.
 
diff --git a/articles/iot-operations/connect-to-cloud/howto-configure-adx-endpoint.md b/articles/iot-operations/connect-to-cloud/howto-configure-adx-endpoint.md
@@ -221,7 +221,7 @@ dataExplorerSettings:
 
 ### User-assigned managed identity
 
-To use user-managed identity for authentication, you must first deploy Azure IoT Operations with secure settings enabled. To learn more, see [Enable secure settings in Azure IoT Operations Preview deployment](../deploy-iot-ops/howto-enable-secure-settings.md).
+To use user-managed identity for authentication, you must first deploy Azure IoT Operations with secure settings enabled. To learn more, see [Enable secure settings in Azure IoT Operations deployment](../deploy-iot-ops/howto-enable-secure-settings.md).
 
 Then, specify the user-assigned managed identity authentication method along with the client ID, tenant ID, and scope of the managed identity.
 
diff --git a/articles/iot-operations/connect-to-cloud/howto-configure-fabric-endpoint.md b/articles/iot-operations/connect-to-cloud/howto-configure-fabric-endpoint.md
@@ -31,7 +31,7 @@ To send data to Microsoft Fabric OneLake in Azure IoT Operations, you can config
 To configure a dataflow endpoint for Microsoft Fabric OneLake, we suggest using the managed identity of the Azure Arc-enabled Kubernetes cluster. This approach is secure and eliminates the need for secret management.
 
 1. In Azure portal, go to the Arc-connected Kubernetes cluster and select **Settings** > **Extensions**. In the extension list, find the name of your Azure IoT Operations extension. Copy the name of the extension.
-1. In the Microsoft Fabric workspace you created, select **Manage access** > **+ Add people or groups**. Search for the Azure IoT Operations Preview Arc extension by its name and select it. Select **Contributor** as the role, then select **Add**.
+1. In the Microsoft Fabric workspace you created, select **Manage access** > **+ Add people or groups**. Search for the Azure IoT Operations Arc extension by its name and select it. Select **Contributor** as the role, then select **Add**.
 1. Create the *DataflowEndpoint* resource and specify the managed identity authentication method. Replace the placeholder values like `<ENDPOINT_NAME>` with your own.
 
 # [Portal](#tab/portal)
@@ -237,7 +237,7 @@ fabricOneLakeSettings:
 
 ### User-assigned managed identity
 
-To use user-managed identity for authentication, you must first deploy Azure IoT Operations with secure settings enabled. To learn more, see [Enable secure settings in Azure IoT Operations Preview deployment](../deploy-iot-ops/howto-enable-secure-settings.md).
+To use user-managed identity for authentication, you must first deploy Azure IoT Operations with secure settings enabled. To learn more, see [Enable secure settings in Azure IoT Operations deployment](../deploy-iot-ops/howto-enable-secure-settings.md).
 
 Then, specify the user-assigned managed identity authentication method along with the client ID, tenant ID, and scope of the managed identity.
 
diff --git a/articles/iot-operations/deploy-iot-ops/howto-manage-update-uninstall.md b/articles/iot-operations/deploy-iot-ops/howto-manage-update-uninstall.md
@@ -175,9 +175,9 @@ az iot ops delete --name <INSTANCE_NAME> --resource-group <RESOURCE_GROUP> --inc
 
 ## Upgrade
 
-In public preview, Azure IoT Operations supports upgrading instances from version 0.7.x to 0.8.x. 
+Azure IoT Operations supports upgrading instances to new versions as they're released.
 
-When a generally available release is made available, you'll need to deploy a new Azure IoT Operations installation. You won't be able to upgrade from a preview installation.
+You can't upgrade from a preview installation to a GA version.
 
 ### [Azure portal](#tab/portal)
 
diff --git a/articles/iot-operations/deploy-iot-ops/overview-deploy.md b/articles/iot-operations/deploy-iot-ops/overview-deploy.md
@@ -40,7 +40,7 @@ A deployment with only test settings:
 * Is meant to enable the end-to-end quickstart sample for evaluation purposes, so supports the OPC PLC simulator and connects to cloud resources using system-assigned managed identity.
 * Can be upgraded to use secure settings.
 
-The quickstart scenario, [Quickstart: Run Azure IoT Operations Preview in GitHub Codespaces](../get-started-end-to-end-sample/quickstart-deploy.md), uses test settings.
+The quickstart scenario, [Quickstart: Run Azure IoT Operations in GitHub Codespaces](../get-started-end-to-end-sample/quickstart-deploy.md), uses test settings.
 
 At any point, you can upgrade an Azure IoT Operations instance to use secure settings by following the steps in [Enable secure settings](../deploy-iot-ops/howto-enable-secure-settings.md).
 
diff --git a/articles/iot-operations/discover-manage-assets/howto-configure-opcua-certificates-infrastructure.md b/articles/iot-operations/discover-manage-assets/howto-configure-opcua-certificates-infrastructure.md
@@ -22,7 +22,7 @@ To learn more, see [OPC UA certificates infrastructure for the connector for OPC
 
 ## Prerequisites
 
-- A deployed instance of Azure IoT Operations Preview. To deploy Azure IoT Operations for demonstration and exploration purposes, see [Quickstart: Run Azure IoT Operations Preview in GitHub Codespaces with K3s](../get-started-end-to-end-sample/quickstart-deploy.md).
+- A deployed instance of Azure IoT Operations. To deploy Azure IoT Operations for demonstration and exploration purposes, see [Quickstart: Run Azure IoT Operations in GitHub Codespaces with K3s](../get-started-end-to-end-sample/quickstart-deploy.md).
 
 - [Enable secure settings in Azure IoT Operations deployment](../deploy-iot-ops/howto-enable-secure-settings.md)
 
diff --git a/articles/iot-operations/get-started-end-to-end-sample/quickstart-configure.md b/articles/iot-operations/get-started-end-to-end-sample/quickstart-configure.md
@@ -13,7 +13,7 @@ ms.date: 10/17/2024
 
 # Quickstart: Configure your cluster
 
-In this quickstart, you configure the following resources in your Azure IoT Operations Preview cluster:
+In this quickstart, you configure the following resources in your Azure IoT Operations cluster:
 
 - An *asset endpoint* that defines a connection to a simulated OPC PLC server that simulates an oven in a bakery.
 - An *asset* that represents the oven and defines the data points that the oven exposes.
@@ -27,7 +27,7 @@ In this quickstart, you use a Bicep file to configure your Azure IoT Operations
 
 ## Prerequisites
 
-Have an instance of Azure IoT Operations Preview deployed in a Kubernetes cluster. The [Quickstart: Run Azure IoT Operations Preview in GitHub Codespaces with K3s](quickstart-deploy.md) provides simple instructions to deploy an Azure IoT Operations instance that you can use for the quickstarts.
+Have an instance of Azure IoT Operations deployed in a Kubernetes cluster. The [Quickstart: Run Azure IoT Operations in GitHub Codespaces with K3s](quickstart-deploy.md) provides simple instructions to deploy an Azure IoT Operations instance that you can use for the quickstarts.
 
 Unless otherwise noted, you can run the console commands in this quickstart in either a Bash or PowerShell environment.
 
diff --git a/articles/iot-operations/manage-layered-network/howto-configure-aks-edge-essentials-layered-network.md b/articles/iot-operations/manage-layered-network/howto-configure-aks-edge-essentials-layered-network.md
@@ -20,9 +20,9 @@ This walkthrough is an example of deploying Azure IoT Operations to a special en
 >[!IMPORTANT]
 > This is an advanced scenario for Azure IoT Operations. You should complete the following steps to get familiar with the basic concepts before you start this advanced scenario.
 > - [Deploy Azure IoT Layered Network Management to an AKS cluster](howto-deploy-aks-layered-network.md)
-> - [Deployment overview - Azure IoT Operations Preview](../deploy-iot-ops/overview-deploy.md)
-> - [Prepare your Kubernetes cluster - Azure IoT Operations Preview](../deploy-iot-ops/howto-prepare-cluster.md)
-> - [Deploy Azure IoT Operations Preview to an Arc-enabled Kubernetes cluster - Azure IoT Operations Preview](../deploy-iot-ops/howto-deploy-iot-operations.md)
+> - [Deployment overview - Azure IoT Operations](../deploy-iot-ops/overview-deploy.md)
+> - [Prepare your Kubernetes cluster - Azure IoT Operations](../deploy-iot-ops/howto-prepare-cluster.md)
+> - [Deploy Azure IoT Operations to an Arc-enabled Kubernetes cluster - Azure IoT Operations](../deploy-iot-ops/howto-deploy-iot-operations.md)
 >
 > You can't migrate a previously deployed Azure IoT Operations from its original network to an isolated network. For this scenario, follow the steps to begin with creating new clusters.
 
@@ -88,7 +88,7 @@ For more information, see [Access Kubernetes resources from Azure portal](/azure
 
 Once your level 3 cluster is Arc-enabled, you can deploy IoT Operations to the cluster. All IoT Operations components are deployed to the level 3 cluster and connect to Arc through the Layered Network Management service. The data pipeline also routes through the Layered Network Management service.
 
-You can now follow the steps in [Deploy Azure IoT Operations Preview to an Arc-enabled Kubernetes cluster](../deploy-iot-ops/howto-deploy-iot-operations.md) to deploy IoT Operations to the level 3 cluster.
+You can now follow the steps in [Deploy Azure IoT Operations to an Arc-enabled Kubernetes cluster](../deploy-iot-ops/howto-deploy-iot-operations.md) to deploy IoT Operations to the level 3 cluster.
 
 ![Network diagram that shows IoT Operations running on a level 3 cluster.](./media/howto-configure-layered-network/logical-network-segmentation-2.png)
 
diff --git a/articles/iot-operations/overview-iot-operations.md b/articles/iot-operations/overview-iot-operations.md
@@ -24,30 +24,30 @@ Azure IoT Operations:
 * Supports GitOps configuration as code for deployment and updates.
 * Natively integrates with [Azure Event Hubs](../event-hubs/azure-event-hubs-kafka-overview.md), [Azure Event Grid's MQTT broker](../event-grid/mqtt-overview.md), and [Microsoft Fabric](/fabric/) in the cloud.
 
-Use Azure IoT Operations Preview to:
+Use Azure IoT Operations to:
 
-* Improve business efficiency and decision making by using AI in the cloud to analyze asset and equipment data from the edge. Azure IoT Operations Preview can process and normalize the data at the edge before it's sent to the cloud.
-* Transform manufacturing environments by removing barriers between OT and IT systems. Azure IoT Operations Preview supports open standards such as MQTT and OPC UA, and frameworks such as Kubernetes, that enable it to foster interoperability and run processes such as predictive maintenance, energy optimization, and digital inspection.
-* Modernize on-premises and edge infrastructure to handle digital operations. Azure IoT Operations Preview offers a suite of services that enable you to connect, manage, and receive data from your assets.
-* Secure your end-to-end operations by using Azure security capabilities. Azure IoT Operations Preview has built-in security capabilities such as secrets management, certificate management, and secure settings.
+* Improve business efficiency and decision making by using AI in the cloud to analyze asset and equipment data from the edge. Azure IoT Operations can process and normalize the data at the edge before it's sent to the cloud.
+* Transform manufacturing environments by removing barriers between OT and IT systems. Azure IoT Operations supports open standards such as MQTT and OPC UA, and frameworks such as Kubernetes, that enable it to foster interoperability and run processes such as predictive maintenance, energy optimization, and digital inspection.
+* Modernize on-premises and edge infrastructure to handle digital operations. Azure IoT Operations offers a suite of services that enable you to connect, manage, and receive data from your assets.
+* Secure your end-to-end operations by using Azure security capabilities. Azure IoT Operations has built-in security capabilities such as secrets management, certificate management, and secure settings.
 
 ## Example use cases
 
-Use Azure IoT Operations Preview to address use cases such as:
+Use Azure IoT Operations to address use cases such as:
 
 ### Anomaly detection
 
 To identify anomalies in the data generated by an industrial asset, an operator can use the operations experience web UI to:
 
-* Connect an OPC UA asset to the Azure IoT Operations Preview MQTT broker at the edge.
+* Connect an OPC UA asset to the Azure IoT Operations MQTT broker at the edge.
 * Define a dataflow that processes and normalizes the data before identifying any anomalies.
 * Send the processed data to Microsoft Fabric in the cloud.
 
 You can then use Microsoft Fabric to build real-time dashboards with visualizations that show the status of the asset and alerts for any detected anomalies. You can make these dashboards available on the shop floor where operators can use them to take immediate action and mitigate potential issues. By using predictive analytics and data on the edge, you can anticipate failures before they occur, and reduce downtime and maintenance costs.
 
 ### Operational equipment effectiveness
 
-With Azure IoT Operations Preview, you can use data collected from assets and equipment to improve your operational equipment effectiveness. Azure IoT Operations captures real-time data at the edge and processes it enabling you to monitor key performance indicators such as availability, performance, and quality. Use Azure IoT Operations to normalize and analyze the data to identify patterns and areas for improvement.
+With Azure IoT Operations, you can use data collected from assets and equipment to improve your operational equipment effectiveness. Azure IoT Operations captures real-time data at the edge and processes it enabling you to monitor key performance indicators such as availability, performance, and quality. Use Azure IoT Operations to normalize and analyze the data to identify patterns and areas for improvement.
 
 ## Architecture overview
 
