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Microsoft Azure IoT Edge

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Azure IoT Edge
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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.

 

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