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articles/iot-edge/about-iot-edge.md

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ms.service: iot-edge
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services: iot-edge
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ms.topic: overview
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ms.date: 01/18/2022
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ms.date: 1/31/2023
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ms.author: patricka
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---
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Analytics drives business value in IoT solutions, but not all analytics need to be in the cloud. Azure IoT Edge helps you bring the analytical power of the cloud closer to your devices to drive better business insights and enable offline decision making. For example, you can run anomaly detection workloads at the edge to respond as quickly as possible to emergencies happening on a production line. If you want to reduce bandwidth costs and avoid transferring terabytes of raw data, you can clean and aggregate the data locally then only send the insights to the cloud for analysis.
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Azure IoT Edge, in concert with [Azure IoT Hub](../iot-hub/iot-concepts-and-iot-hub.md), enables you to scale out and manage an IoT solution from the cloud. By packaging your business logic into standard containers and optionally leveraging pre-built [IoT Edge modules from the Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps/category/internet-of-things?page=1&subcategories=iot-edge-modules) you can easily compose, deploy, and maintain your solution.
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Azure IoT Edge is a feature of [Azure IoT Hub](../iot-hub/iot-concepts-and-iot-hub.md) and enables you to scale out and manage an IoT solution from the cloud. By packaging your business logic into standard containers and using optional pre-built [IoT Edge modules from the Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps/category/internet-of-things?page=1&subcategories=iot-edge-modules) you can easily compose, deploy, and maintain your solution.
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Azure IoT Edge is made up of three components:
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## IoT Edge modules
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IoT Edge modules are units of execution, implemented as Docker compatible containers, that run your business logic at the edge. Multiple modules can be configured to communicate with each other, creating a pipeline of data processing. You can develop custom modules or package certain Azure services into modules that provide insights offline and at the edge.
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IoT Edge modules are units of execution, implemented as Docker-compatible containers, that run your business logic at the edge. Multiple modules can be configured to communicate with each other, creating a pipeline of data processing. You can develop custom modules or package certain Azure services into modules that provide insights offline and at the edge.
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### Artificial intelligence at the edge
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Azure IoT Edge allows you to deploy complex event processing, machine learning, image recognition, and other high value AI without writing it in-house. Azure services like Azure Stream Analytics and Azure Machine Learning can all be run on-premises via Azure IoT Edge. You're not limited to Azure services, though. Anyone is able to create AI modules and make them available to the community for use through the Azure Marketplace.
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Azure IoT Edge allows you to deploy complex event processing, machine learning, image recognition, and other high value AI without writing it in-house. Azure services like Azure Stream Analytics and Azure Machine Learning can all be run on-premises via Azure IoT Edge. You're not limited to Azure services, though. Anyone is able to create AI modules for your own use or optionally make them available to the community through the Azure Marketplace.
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### Bring your own code
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* Reports module health to the cloud for remote monitoring.
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* Manages communication between downstream devices and an IoT Edge device, between modules on an IoT Edge device, and between an IoT Edge device and the cloud.
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![IoT Edge runtime sends insights and reporting to IoT Hub](./media/about-iot-edge/runtime.png)
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:::image type="content" source="./media/about-iot-edge/runtime.png" alt-text="Diagram of how IoT Edge runtime sends insights and reporting to IoT Hub.":::
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How you use an Azure IoT Edge device is up to you. The runtime is often used to deploy AI to gateway devices which aggregate and process data from other on-premises devices, but this deployment model is just one option.
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It's difficult to manage the software life cycle for millions of IoT devices that are often different makes and models or geographically scattered. Workloads are created and configured for a particular type of device, deployed to all of your devices, and monitored to catch any misbehaving devices. These activities can't be done on a per device basis and must be done at scale.
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Azure IoT Edge integrates seamlessly with Azure IoT Central to provide one control plane for your solution's needs. Cloud services allow you to:
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Azure IoT Edge integrates seamlessly with [Azure IoT Central](../iot-central/index.yml) to provide one control plane for your solution's needs. Cloud services allow you to:
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* Create and configure a workload to be run on a specific type of device.
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* Send a workload to a set of devices.
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* Monitor workloads running on devices in the field.
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![Device telemetry and actions are coordinated with the cloud](./media/about-iot-edge/cloud-interface.png)
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:::image type="content" source="./media/about-iot-edge/cloud-interface.png" alt-text="Diagram of how device telemetry and actions are coordinated with the cloud.":::
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## Next steps
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Try out these concepts by deploying your first IoT Edge module to a device:
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Try out IoT Edge concepts by deploying your first IoT Edge module to a device:
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* [Deploy modules to a Linux IoT Edge device](quickstart-linux.md)
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* [Deploy modules to a Windows IoT Edge device](quickstart.md)

articles/iot-edge/how-to-provision-single-device-linux-symmetric.md

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Check that your device and modules are deployed and running, by viewing your device page in the Azure portal.
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:::image type="content" source="media/how-to-provision-single-device-linux-symmetric/modules-deployed.png" alt-text="Screenshot of IoT Edge modules deployed and running confirmation in the Azure portal.":::
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:::image type="content" source="media/how-to-provision-single-device-linux-symmetric/modules-deployed.png" alt-text="Screenshot of IoT Edge modules deployed and running confirmation in the Azure portal." lightbox="media/how-to-provision-single-device-linux-symmetric/modules-deployed.png":::
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Once your modules are deployed and running, list them in your device or virtual machine with the following command:
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articles/iot-edge/includes/iot-edge-register-device-symmetric.md

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ms.topic: include
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The edge-enabled devices that connect to your IoT hub are listed on the **Devices** page of your IoT hub. If you have multiple devices, you can filter the list by selecting the type **Iot Edge Devices**, then select **Apply**.
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:::image type="content" source="media/iot-edge-register-device/portal-view-devices.png" alt-text="Screenshot of how to view your devices in the Azure portal, IoT Hub.":::
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:::image type="content" source="media/iot-edge-register-device/portal-view-devices.png" alt-text="Screenshot of how to view your devices in the Azure portal, IoT Hub." lightbox="media/iot-edge-register-device/portal-view-devices.png":::
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When you're ready to set up your device, you need the connection string that links your physical device with its identity in the IoT hub. Devices that authenticate with symmetric keys have their connection strings available to copy in the portal. To find your connection string in the portal:
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