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Copy file name to clipboardExpand all lines: articles/iot-edge/tutorial-deploy-function.md
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@@ -4,7 +4,7 @@ description: In this tutorial, you deploy an Azure function as a module to an ed
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author: kgremban
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manager: timlt
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ms.author: kgremban
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ms.date: 08/10/2018
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ms.date: 08/22/2018
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ms.topic: tutorial
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ms.service: iot-edge
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services: iot-edge
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In this section, you provide the credentials for your container registry twice. The first is to sign in locally from your development machine so that Visual Studio Code can push images to your registry. The second is in the **.env** file of your IoT Edge solution, which gives your IoT Edge device permissions to pull images from your registry.
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1. Open the VS Code integrated terminal by selecting **View** > **Integrated Terminal**.
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1. Open the VS Code integrated terminal by selecting **View** > **Terminal**.
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1. Sign in to your container registry by entering the following command in the integrated terminal. Then you can push your module image to your Azure container registry:
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5. In the VS Code explorer, expand the **Azure IoT Hub Devices** section.
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6. Right-click the name of your IoT Edge device, and then select **Create Deployment for IoT Edge device**.
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6. Right-click the name of your IoT Edge device, and then select **Create Deployment for single device**.
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7. Browse to the solution folder that contains the **CSharpFunction**. Open the config folder, select the deployment.json file, and then choose **Select Edge Deployment Manifest**.
Copy file name to clipboardExpand all lines: articles/iot-edge/tutorial-deploy-machine-learning.md
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@@ -4,7 +4,7 @@ description: In this tutorial, you deploy Azure Machine Learning as a module to
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author: kgremban
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ms.author: kgremban
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ms.date: 06/25/2018
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ms.date: 08/22/2018
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ms.topic: tutorial
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ms.service: iot-edge
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services: iot-edge
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To disable process identification on your IoT edge device, you'll need to provide the ip address and port for **workload_uri** and **management_uri** in the **connect** section of the IoT Edge daemon configuration.
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Get the IP address first. Enter `ifconfig` in your command line and copy the IP address of the **docker0** interface.
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Get the IP address first. Enter `ipconfig` in your command line and copy the IP address of the **docker0** interface.
Copy file name to clipboardExpand all lines: articles/iot-edge/tutorial-store-data-sql-server.md
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author: kgremban
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ms.author: kgremban
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ms.date: 06/26/2018
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ms.date: 08/22/2018
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ms.topic: tutorial
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ms.service: iot-edge
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ms.custom: mvc
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The following steps show you how to create an IoT Edge function using Visual Studio Code and the Azure IoT Edge extension.
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1. Open Visual Studio Code.
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2. Open the VS Code integrated terminal by selecting **View** > **Integrated Terminal**.
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2. Open the VS Code integrated terminal by selecting **View** > **Terminal**.
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3. Open the VS Code command palette by selecting **View** > **Command palette**.
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4. In the command palette, type and run the command **Azure: Sign in** and follow the instructions to sign in your Azure account. If you've already signed in, you can skip this step.
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3. In the command palette, type and run the command **Azure IoT Edge: New IoT Edge solution**. In the command palette, provide the following information to create your solution:
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2. Follow the prompts to sign in to your Azure account.
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3. In the command palette, select your Azure subscription then select your IoT Hub.
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4. In the VS Code explorer, expand the **Azure IoT Hub Devices** section.
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5. Right-click on the device that you want to target with your deployment and select **Create deployment for IoT Edge device**.
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5. Right-click on the device that you want to target with your deployment and select **Create deployment for single device**.
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6. In the file explorer, navigate to the **config** folder inside your solution and choose **deployment.json**. Click **Select Edge deployment manifest**.
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If the deployment is successful, and confirmation message is printed in the VS Code output. You can also check to see that all the modules are up and running on your device.
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On your IoT Edge device, run the following command to see the status of the modules. It may take a few minutes.
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