With more than 20 billion IoT devices deployed globally, the processing power and storage volume in the cloud is mindboggling. These millions of devices not only capture data, but they also transmit the data to cloud storage for further analysis, and this analyzing process requires a lot of network bandwidth. That is why many organizations are looking out for solutions to reduce costs and overcome operational inefficiencies. One of the best solutions for managing this is ‘Edge Computing.’ IoT Edge Computing helps in reducing the amount of data transmitted and stored in the cloud, decreasing the time lag in data processing as well as data transmission while giving special focus to critical data, their analysis, storage, and immediate processing. Microsoft Azure IoT Edge is a fully managed service built on their Azure IoT Hub for building solutions that utilize Edge computing.
How Azure IoT Edge helps you?
Azure IoT Edge brings down bandwidth consumption both at the device level and at the network level. It allows you to deploy event processing, machine learning, image recognition, and other AI without writing it in-house. By moving your cloud workloads to the Microsoft Azure IoT Edge, you can enable your devices to reduce time spent on communicating with the cloud, react to local changes faster, and operate reliably offline.
The Microsoft Azure IoT Edge consists of 3 components –
- IoT Edge Modules are Docker-compatible containers that run Azure services, third-party services, or your code. IoT Edge module needs to be built using supported languages and then deployed to a Docker registry.
- IoT Edge Runtime gives you more control and code flexibility. IoT Edge runtime runs on the Edge device and manages the modules deployed in each device.
- Cloud-based interface allows you to monitor and manage IoT Edge devices remotely. It enables you to deploy workloads from the cloud through Microsoft Azure IoT Hub with zero-touch device provisioning.
Features of Microsoft Azure IoT Edge
Using existing developer skillsets, familiar programming languages like C, Node.js, Java, Python, and Microsoft .NET, you can monitor your IoT solution in Azure IoT Edge Computing. With Azure IoT Edge, you can connect, manage, monitor devices securely, and make data-driven decisions by applying Machine Learning and Stream Analytics.
Reduce IoT solution costs
With Microsoft services like Azure Stream Analytics or machine learning models, you can program and decide which data your device has to capture and send to the cloud to process data locally. By managing the data transmission to the cloud, we can reduce the bandwidth costs and other associated costs without compromising on the quality of the insights.
Respond in near-real time
Rather than processing your data in the cloud, Azure IoT Edge processes your data on the device. This can make real-time AI calculations and give you immediate insights to make critical business decisions.
Operate offline or with intermittent connectivity
Azure IoT Edge allows your edge devices to function even when they are offline. The Edge devices automatically sync and seamlessly reconnect to the latest state and continue the ongoing function regardless of the connectivity.
IoT Edge security
Azure IoT Edge ensures that you have the right software and authorized edge devices, provides threat protection by integrating with Azure Security Center, and provides strong authenticated connections for confidential computing.
What are you waiting for? Microsoft Azure IoT Edge, which is built on the Microsoft Azure IoT Hub, can help you to enhance your device’s capabilities with its rich features. However, it is always advisable to seek expert guidance to maximize your ROI and succeed with your IoT implementation. To learn more about how you can leverage Azure IoT Edge features to accelerate your Digital Transformation journey, talk to our team now!