Run az version to find the version and dependent libraries that are installed. For more information about extensions, see Use extensions with the Azure CLI. When you're prompted, install the Azure CLI extension on first use. For other sign-in options, see Sign in with the Azure CLI. To finish the authentication process, follow the steps displayed in your terminal. If you're using a local installation, sign in to the Azure CLI by using the az login command. For more information, see How to run the Azure CLI in a Docker container. If you're running on Windows or macOS, consider running Azure CLI in a Docker container. If you prefer to run CLI reference commands locally, install the Azure CLI. For more information, see Quickstart for Bash in Azure Cloud Shell.

Use the Bash environment in Azure Cloud Shell.

Prepare your environment for the Azure CLI. If you don't have an active Azure subscription, create a free account before you begin. The other Azure IoT Edge tutorials build upon the work you do here by deploying additional modules that analyze the simulated data for business insights. The module used in this quickstart is a simulated sensor that generates temperature, humidity, and pressure data. Then, you deploy a module from the Azure portal to your device. This quickstart walks you through creating a Linux virtual machine that's configured to be an IoT Edge device. Remotely deploy a module to an IoT Edge device.Install and start the IoT Edge runtime on a virtual device.Register an IoT Edge device to your IoT hub.For this quickstart, we recommend using an Azure virtual machine for your IoT Edge device, which allows you to quickly create a test machine and then delete it when you're finished. IoT Edge allows you to remotely manage code on your devices so that you can send more of your workloads to the edge. Test out Azure IoT Edge in this quickstart by deploying containerized code to a virtual Linux IoT Edge device.

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