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Azure IoT Edge

Cloud intelligence deployed locally on IoT edge devices

Build the intelligent edge

Azure IoT Edge is a fully managed service built on Azure IoT Hub. Deploy your cloud workloads—artificial intelligence, Azure and third-party services, or your own business logic—to run on Internet of Things (IoT) edge devices via standard containers. By moving certain workloads to the edge of the network, your devices spend less time communicating with the cloud, react more quickly 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.

Watch Custom Vision AI on IoT Edge

Order the Vision AI developer kit

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.

Watch Getting Started with IoT Edge Development

Learn how to prepare your development and test environment

Respond in near-real time

Having the lowest latency possible between the data and the decision is critical. Rather than process your data in the cloud, IoT Edge processes it on the device itself, with the option of using hardware architecture from Microsoft called Project Brainwave. It uses a field-programmable gate array (FPGA) to make real-time AI calculations, giving you the immediate insights you need to make critical business decisions.

Learn more about Project Brainwave

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.

Get started with Azure Stream Analytics on IoT Edge

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.

Learn more

IoT Edge security for your enterprise edge deployments

  • Ensures that your devices have the right software and that only authorized edge devices can communicate with one another
  • Integrates with Azure Defender for IoT to help provide end-to-end threat protection and security posture management
  • Supports any hardware security module to provide strong authenticated connections for confidential computing

IoT Edge pricing

IoT Edge consists of the edge runtime, edge modules, and a cloud interface via Azure IoT Hub. The IoT Edge runtime is open source and free.

See IoT Edge pricing

Get started with Azure IoT Edge

Follow these quickstarts to: Deploy code to a Linux device. Deploy code to a Windows device.

Watch the on-demand webinar to learn how to take advantage of IoT device-generated data.

Visit GitHub for open-source projects such as the Edge agent, Edge hub, and IoT Edge security daemon.

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.

Start learning

IoT Show

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

Watch now

Developer’s guide

Find the resources you need to get started and work through technical challenges in one convenient guide.

Download now

IoT tech community

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

Join the conversation


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

See documentation

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  • 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:

    • Moby container management system
    • High availability with Kubernetes
    • Extended offline operation
    • Zero-touch provisioning of edge devices
    • Security manager with support for hardware-based root of trust
    • 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 MIT license to give you more control and flexibility of the code. We support the Moby container management system, which extends the concepts of containerization, isolation, and management from the cloud to devices at the edge. We also support Kubernetes to manage your IoT Edge deployments; manage devices from multiple IoT hubs using a single Kubernetes interface.
  • IoT Edge supports Azure, third-party, and custom logic running at the edge. To take advantage of edge capabilities, browse edge modules on the 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 with as little as 128 MB of memory. 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 DJI, Qualcomm, SAP, 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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