IoT Edge | Cloud Intelligence

Overview

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.

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
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.

Learn more about Azure Monitor integration
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 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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Features

Build and manage intelligent edge workloads

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Pricing

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

Resources

Documentation, resources, and learning tools

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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

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IoT Show

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

Watch now

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IoT tech community

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

Join the conversation

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Documentation

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

See documentation

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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.

Learn more

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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:

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.