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Azure IoT Edge

Cloud intelligence deployed locally on IoT edge devices

Deploy Azure IoT Edge on premises to break up data silos and consolidate operational data at scale in the Azure Cloud. Remotely and securely deploy and manage cloud-native workloads—such as AI, Azure services, or your own business logic—to run directly on your IoT devices. Optimize cloud spend and enable your devices to react faster to local changes and operate reliably even in extended offline periods.

Certified IoT Edge hardware: Works with your Linux or Windows devices that support container engines
Runtime: Free and open-source under the MIT license to give you more control and code flexibility
Modules: Docker-compatible containers from Azure services or Microsoft partners to run your business logic at the edge
Cloud interface: Remotely manage and deploy workloads from the cloud through Azure IoT Hub with zero-touch device provisioning

Offload AI and analytics workloads to the edge

Deploy models built and trained in the cloud and run them on-premises. For example, if you deploy a predictive model to a factory camera to test for quality control and an issue is detected, IoT Edge triggers an alert and processes the data locally or sends it to the cloud for further analysis.

Simplify development

Use existing developer skillsets and code in a language you know. IoT Edge code is consistent across the cloud and the edge, and it supports languages such as C, C#, Java, Node.js, and Python.

Remotely monitor devices at scale

Remotely monitor IoT Edge devices at scale with Azure Monitor integration. Use built-in metrics and curated visualizations to gain deep visibility into the health and performance of your edge applications right in the Azure portal. Combine on-demand device logs with IoT Edge for best-in-class edge observability.

Reduce IoT solution costs

Only a small fraction of IoT edge data acquired is meaningful post-analytics. Use services such as Azure Stream Analytics or cloud-trained machine learning models to process the data locally and send only what’s needed to the cloud for further analysis. This reduces the cost associated with sending all your data to the cloud while maintaining high data quality.

Operate offline or with intermittent connectivity

Operate your edge devices reliably and securely, even when they’re offline or they have intermittent connectivity to the cloud. Azure IoT Edge device management automatically syncs the latest state of your devices after they’re reconnected to ensure seamless operability.

Read the latest edition of the IoT Signals report

This paper builds on the success of prior reports, uncovering fresh learnings and insights on the state of IoT.

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Documentation, resources, and learning tools

MS Learn

Whether you're new to IoT or an experienced developer, IoT School offers role-based learning materials and resources to plan and build your IoT solutions.

IoT Show

See the latest IoT Edge features, demos, customer and partner spotlights, industry talks, and technical analysis.

IoT tech community

Ask questions and get support from Microsoft engineers and Azure community experts.


Create the intelligent edge with the help of 5-minute quickstarts, how-to guides, tutorials, and sample code.

  • IoT Edge has three components. IoT Edge modules are containers that run Azure services, third-party services, or custom code. They are deployed to IoT Edge-enabled devices and execute locally on those devices. The IoT Edge runtime runs on each IoT Edge-enabled device and manages the modules deployed to each device. The cloud-based interface remotely monitors and manages IoT Edge-enabled devices.

  • IoT Edge also offers:

    • Zero-touch provisioning of edge devices.
    • Security manager with support for hardware-based root of trust.
    • Extended offline operation.
    • Integration with Azure Monitor for best-in-class observability.
    • Automatic Device Configuration Service for scaled deployment and configuration of edge devices.
    • Support for SDKs in C, C#, Node, Python, and Java.
    • Tooling for module development, including coding, testing, debugging, and deployment.
    • CI/CD pipeline using Azure DevOps.
  • IoT Edge is among the most open edge platforms available today, and Microsoft is committed to using open-source technologies to deliver innovations at the edge. The IoT Edge runtime is open-sourced under the MIT license to give you more control and flexibility with the code. IoT Edge supports the Moby container management system, which extends the concepts of containerization, isolation, and management from the cloud to devices at the edge.

  • IoT Edge supports Azure, third-party, and custom logic running at the edge. To take advantage of edge capabilities, browse edge modules on Azure Marketplace. They’re container-based and certified to work with IoT Edge for faster time to market. If you’re a software partner, learn how to publish IoT Edge modules.

    IoT Edge supports Windows and Linux operating systems and runs on devices as small as the Raspberry Pi. See the Azure Certified for IoT device catalog to find third-party hardware certified based on core functionalities such as AI support, device management, and security. If you’re a hardware partner, learn how to certify your edge hardware.

  • Microsoft has partnerships with DJIQualcommSAP, and NVIDIA for IoT Edge services. Develop IoT Edge solutions to run on your high-end GPU-powered commercial drones with DJI. Run IoT Edge and AI services on the Snapdragon camera platform using the Vision AI developers kit with Qualcomm. Deploy essential business functions as edge modules with SAP. Get real-time video analytics at the edge by converting video feeds into sensor telemetry with NVIDIA.

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