Quickstart: Deploy your first IoT Edge module to a Windows device

Applies to: yes icon IoT Edge 1.1

Try out Azure IoT Edge in this quickstart by deploying containerized code to a Linux on Windows IoT Edge device. IoT Edge allows you to remotely manage code on your devices so that you can send more of your workloads to the edge. For this quickstart, we recommend using your own device to see how easy it is to use Azure IoT Edge for Linux on Windows.

In this quickstart, you'll learn how to:

  • Create an IoT hub.
  • Register an IoT Edge device to your IoT hub.
  • Install and start the IoT Edge for Linux on Windows runtime on your device.
  • Remotely deploy a module to an IoT Edge device and send telemetry.

Diagram that shows the architecture of this quickstart for your device and cloud.

This quickstart walks you through how to set up your Azure IoT Edge for Linux on Windows device. Then, you'll deploy a module from the Azure portal to your device. The module you'll use is a simulated sensor that generates temperature, humidity, and pressure data. Other Azure IoT Edge tutorials build on the work you do here by deploying modules that analyze the simulated data for business insights.

If you don't have an active Azure subscription, create a free account before you begin.


Prepare your environment for the Azure CLI.

  • Use the Bash environment in Azure Cloud Shell.

    Launch Cloud Shell in a new window

  • If you prefer, install the Azure CLI to run CLI reference commands.

    • If you're using a local installation, sign in to the Azure CLI by using the az login command. To finish the authentication process, follow the steps displayed in your terminal. For additional sign-in options, see Sign in with the Azure CLI.

    • When you're prompted, install Azure CLI extensions on first use. For more information about extensions, see Use extensions with the Azure CLI.

    • Run az version to find the version and dependent libraries that are installed. To upgrade to the latest version, run az upgrade.

Create a cloud resource group to manage all the resources you'll use in this quickstart.

az group create --name IoTEdgeResources --location westus2

Make sure your IoT Edge device meets the following requirements:

  • System Requirements

    • Windows 10¹/11 (Pro, Enterprise, IoT Enterprise)
    • Windows Server 2019¹/2022
      ¹ Windows 10 and Windows Server 2019 minimum build 17763 with all current cumulative updates installed.
  • Hardware requirements

    • Minimum Free Memory: 1 GB
    • Minimum Free Disk Space: 10 GB


This quickstart uses PowerShell to create a deployment of IoT Edge for Linux on Windows. You can also use Windows Admin Center. If you wish to use Windows Admin Center to create your deployment, follow the steps in the how-to guide on installing and provisioning Azure IoT Edge for Linux on a Windows device.

Create an IoT hub

Start by creating an IoT hub with the Azure CLI.

Diagram that shows the step to create an I o T hub.

The free level of Azure IoT Hub works for this quickstart. If you've used IoT Hub in the past and already have a hub created, you can use that IoT hub.

The following code creates a free F1 hub in the resource group IoTEdgeResources. Replace {hub_name} with a unique name for your IoT hub. It might take a few minutes to create an IoT hub.

az iot hub create --resource-group IoTEdgeResources --name {hub_name} --sku F1 --partition-count 2

If you get an error because you already have one free hub in your subscription, change the SKU to S1. If you get an error that the IoT hub name isn't available, someone else already has a hub with that name. Try a new name.

Register an IoT Edge device

Register an IoT Edge device with your newly created IoT hub.

Diagram that shows the step to register a device with an IoT hub identity.

Create a device identity for your simulated device so that it can communicate with your IoT hub. The device identity lives in the cloud, and you use a unique device connection string to associate a physical device to a device identity.

IoT Edge devices behave and can be managed differently than typical IoT devices. Use the --edge-enabled flag to declare that this identity is for an IoT Edge device.

  1. In Azure Cloud Shell, enter the following command to create a device named myEdgeDevice in your hub.

    az iot hub device-identity create --device-id myEdgeDevice --edge-enabled --hub-name {hub_name}

    If you get an error about iothubowner policy keys, make sure that Cloud Shell is running the latest version of the Azure IoT extension.

  2. View the connection string for your device, which links your physical device with its identity in IoT Hub. It contains the name of your IoT hub, the name of your device, and a shared key that authenticates connections between the two.

    az iot hub device-identity connection-string show --device-id myEdgeDevice --hub-name {hub_name}
  3. Copy the value of the connectionString key from the JSON output and save it. This value is the device connection string. You'll use it to configure the IoT Edge runtime in the next section.

    Screenshot that shows the connectionString output in Cloud Shell.

Install and start the IoT Edge runtime

Install IoT Edge for Linux on Windows on your device, and configure it with the device connection string.

Diagram that shows the step to start the IoT Edge runtime.

Run the following PowerShell commands on the target device where you want to deploy Azure IoT Edge for Linux on Windows. To deploy to a remote target device using PowerShell, use Remote PowerShell to establish a connection to a remote device and run these commands remotely on that device.

  1. In an elevated PowerShell session, run each of the following commands to download IoT Edge for Linux on Windows.

    $msiPath = $([io.Path]::Combine($env:TEMP, 'AzureIoTEdge.msi'))
    $ProgressPreference = 'SilentlyContinue'
    ​Invoke-WebRequest "https://aka.ms/AzEflowMSI" -OutFile $msiPath
  2. Install IoT Edge for Linux on Windows on your device.

    Start-Process -Wait msiexec -ArgumentList "/i","$([io.Path]::Combine($env:TEMP, 'AzureIoTEdge.msi'))","/qn"
  3. Set the execution policy on the target device to AllSigned if it is not already. You can check the current execution policy in an elevated PowerShell prompt using:

    Get-ExecutionPolicy -List

    If the execution policy of local machine is not AllSigned, you can set the execution policy using:

    Set-ExecutionPolicy -ExecutionPolicy AllSigned -Force
  4. Create the IoT Edge for Linux on Windows deployment.

  5. Enter 'Y' to accept the license terms.

  6. Enter 'O' or 'R' to toggle Optional diagnostic data on or off, depending on your preference. A successful deployment is pictured below.

    A successful deployment will say 'Deployment successful' at the end of the messages

  7. Provision your device using the device connection string that you retrieved in the previous section. Replace the placeholder text with your own value.

    Provision-EflowVm -provisioningType ManualConnectionString -devConnString "<CONNECTION_STRING_HERE>"​

Your IoT Edge device is now configured. It's ready to run cloud-deployed modules.

Deploy a module

Manage your Azure IoT Edge device from the cloud to deploy a module that sends telemetry data to IoT Hub.

Diagram that shows the step to deploy a module.

One of the key capabilities of Azure IoT Edge is deploying code to your IoT Edge devices from the cloud. IoT Edge modules are executable packages implemented as containers. In this section, you'll deploy a pre-built module from the IoT Edge Modules section of Azure Marketplace directly from Azure IoT Hub.

The module that you deploy in this section simulates a sensor and sends generated data. This module is a useful piece of code when you're getting started with IoT Edge because you can use the simulated data for development and testing. If you want to see exactly what this module does, you can view the simulated temperature sensor source code.

Follow these steps to deploy your first module from Azure Marketplace.

  1. Sign in to the Azure portal and go to your IoT hub.

  2. From the menu on the left, under Automatic Device Management, select IoT Edge.

  3. Select the device ID of the target device from the list of devices.

    When you create a new IoT Edge device, it will display the status code 417 -- The device's deployment configuration is not set in the Azure portal. This status is normal, and means that the device is ready to receive a module deployment.

  4. On the upper bar, select Set Modules.

    Screenshot that shows selecting Set Modules.

  5. Under IoT Edge Modules, open the Add drop-down menu, and then select Marketplace Module.

    Screenshot that shows the Add drop-down menu.

  6. In IoT Edge Module Marketplace, search for and select the Simulated Temperature Sensor module.

    The module is added to the IoT Edge Modules section with the desired running status.

  7. Select Next: Routes to continue to the next step of the wizard.

    Screenshot that shows continuing to the next step after the module is added.

  8. On the Routes tab, remove the default route, route, and then select Next: Review + create to continue to the next step of the wizard.


    Routes are constructed by using name and value pairs. You should see two routes on this page. The default route, route, sends all messages to IoT Hub (which is called $upstream). A second route, SimulatedTemperatureSensorToIoTHub, was created automatically when you added the module from Azure Marketplace. This route sends all messages from the simulated temperature module to IoT Hub. You can delete the default route because it's redundant in this case.

    Screenshot that shows removing the default route then moving to the next step.

  9. Review the JSON file, and then select Create. The JSON file defines all of the modules that you deploy to your IoT Edge device. You'll see the SimulatedTemperatureSensor module and the two runtime modules, edgeAgent and edgeHub.


    When you submit a new deployment to an IoT Edge device, nothing is pushed to your device. Instead, the device queries IoT Hub regularly for any new instructions. If the device finds an updated deployment manifest, it uses the information about the new deployment to pull the module images from the cloud then starts running the modules locally. This process can take a few minutes.

  10. After you create the module deployment details, the wizard returns you to the device details page. View the deployment status on the Modules tab.

    You should see three modules: $edgeAgent, $edgeHub, and SimulatedTemperatureSensor. If one or more of the modules has YES under SPECIFIED IN DEPLOYMENT but not under REPORTED BY DEVICE, your IoT Edge device is still starting them. Wait a few minutes, and then refresh the page.

    Screenshot that shows Simulated Temperature Sensor in the list of deployed modules.

View the generated data

In this quickstart, you created a new IoT Edge device and installed the IoT Edge runtime on it. Then you used the Azure portal to deploy an IoT Edge module to run on the device without having to make changes to the device itself.

The module that you pushed generates sample environment data that you can use for testing later. The simulated sensor is monitoring both a machine and the environment around the machine. For example, this sensor might be in a server room, on a factory floor, or on a wind turbine. The messages that it sends include ambient temperature and humidity, machine temperature and pressure, and a timestamp. IoT Edge tutorials use the data created by this module as test data for analytics.

  1. Log in to your IoT Edge for Linux on Windows virtual machine using the following command in your PowerShell session:



    The only account allowed to SSH to the virtual machine is the user that created it.

  2. Once you are logged in, you can check the list of running IoT Edge modules using the following Linux command:

    sudo iotedge list

    Verify your temperature sensor, agent, and hub are running.

  3. View the messages being sent from the temperature sensor module to the cloud using the following Linux command:

    sudo iotedge logs SimulatedTemperatureSensor -f


    IoT Edge commands are case-sensitive when they refer to module names.

    View the output logs of the Simulated Temperature Sensor module.

You can also use the Azure IoT Hub extension for Visual Studio Code to watch messages arrive at your IoT hub.

Clean up resources

If you want to continue on to the IoT Edge tutorials, skip this step. You can use the device that you registered and set up in this quickstart. Otherwise, you can delete the Azure resources that you created to avoid charges.

If you created your virtual machine and IoT hub in a new resource group, you can delete that group and all the associated resources. If you don't want to delete the whole group, you can delete individual resources instead.


Check the contents of the resource group to make sure that there's nothing you want to keep. Deleting a resource group is irreversible.

Use the following command to remove the IoTEdgeResources group. Deletion might take a few minutes.

az group delete --name IoTEdgeResources

You can confirm that the resource group is removed by using this command to view the list of resource groups.

az group list

Remove Azure IoT Edge for Linux on Windows

Use the dashboard extension in Windows Admin Center to uninstall Azure IoT Edge for Linux on Windows.

  1. Connect to the IoT Edge device in Windows Admin Center. The Azure dashboard tool extension loads.

  2. Select Uninstall. After Azure IoT Edge is removed, Windows Admin Center removes the Azure IoT Edge device connection entry from the Start page.


Another way to remove Azure IoT Edge from your Windows system is to select Start > Settings > Apps > Azure IoT Edge LTS > Uninstall on your IoT Edge device. This method removes Azure IoT Edge from your IoT Edge device, but leaves the connection behind in Windows Admin Center. To complete the removal, uninstall Windows Admin Center from the Settings menu as well.

Next steps

In this quickstart, you created an IoT Edge device and used the Azure IoT Edge cloud interface to deploy code onto the device. Now you have a test device generating raw data about its environment.

In the next tutorial, you'll learn how to monitor the activity and health of your device from the Azure portal.