Utilize the consistency of IoT Edge that uses support languages such as C, C#, Java, Node.js, and Python across the cloud and edge. Empower your dev team with these modern skillsets to code in a favorite language and simplify software development.
Get started quickly to remotely monitor IoT Edge devices at scale with Microsoft's Azure Monitor integration. Take advantage of built-in metrics and curated visualizations to deep dive into assessing the performance and health of your IoT apps - all in the Azure portal.
Incorporate Azure Stream Analytics or cloud-trained machine learning models to locally process or send the required data for further analysis on the cloud, reducing the associated costs to keep the high data quality.
Get your IoT devices automatically synchronized with reliable and secure edge updates. Operate your edge devices even when they're offline or connected to the cloud.
Azur IoT edge stands on three pillars, as mentioned below:
You can run Azure, third-party software, and custom logic using any IoT Edge-enabled device. Browse Azure Marketplace's edge modules to learn more about edge capabilities. With their container-based design and certification for IoT Edge, they can be deployed more quickly. Get information about publishing IoT Edge modules if you are a software partner.
The Raspberry Pi is one of the smallest devices that can run IoT Edge. The best thing is - it is compatible with Windows and Linux operating systems. Find third-party hardware, certified based on core functionalities such as AI support, device management, and securing the Azure Certified IoT device catalog. Get in touch with Dynamics Square to know more about edge hardware IoT Edge-driven solutions.