Introducing IoT EdgePreview
Extend cloud intelligence to edge devices
- Run artificial intelligence at the edge
- Perform edge analytics
- Deploy IoT solutions from cloud to edge
- Manage devices centrally from the cloud
- Operate with offline and intermittent connectivity
- Enable real-time decisions
- Connect new and legacy devices
- Reduce bandwidth costs
Take your IoT solutions to the next level
Make hybrid cloud and edge Internet of Things (IoT) solutions a reality with Azure IoT Edge – a service that delivers cloud capabilities to the edge. IoT Edge provides easy orchestration between code and services, so they flow securely between cloud and edge to distribute intelligence across IoT devices. Easily integrate Microsoft Azure and third-party services, or augment existing services to create a custom IoT application with your own business logic. You get the best of both worlds with devices that can act locally based on the data they generate, while also taking advantage of the cloud to configure, deploy and manage them securely and at scale.
Enable artificial intelligence and advanced analytics at the edge
Build advanced analytics, machine learning and artificial intelligence in the cloud and deploy to physical devices using IoT Edge. An ecosystem of Azure and third-party services will help you enable new IoT applications on your edge devices. Capitalise on Azure Stream Analytics, Microsoft Cognitive Services and Azure Machine Learning to create more advanced IoT solutions with less time and effort.
Reduce IoT solution costs
Decide what IoT data to capture and send to the cloud by programming your edge device to process data locally. Then, only send the data you need to store and analyse in the cloud. By reducing the amount of data you transmit from device to cloud, you’ll reduce bandwidth costs and costs associated with storing and analysing data in other business applications, and still benefit from enhanced insights.
Ease development efforts for advanced IoT solutions by taking advantage of skills and resources you already have. Use familiar programming tools such as Visual Studio, and multiple programming languages, including C, Node.js, Java, Microsoft .NET and Python to optimise and monitor your IoT solution – and apply fixes as needed. Use the same programming models you use in the cloud to create and test your IoT applications, and then push them to your edge devices.
Operate offline or with intermittent connectivity
With IoT Edge, your edge devices can operate reliably and securely even when they’re offline or only have intermittent connectivity to the cloud. Once reconnected, edge devices automatically sync their latest state and continue to function seamlessly, regardless of ongoing connectivity.