How To Deploy Azure IoT Edge On Raspberry Pi
Of course, the idea of connecting everything to a server in the cloud makes for a simple approach, both conceptually and programmatically.
It is the easiest and cheapest thing to do, and it works. However, the number of connected devices is increasing exponentially and so will the messages that have to be routed through cloud platforms for analytics and management, causing increased latency and scalability issues.
Further, most cloud service providers can’t even guarantee 100% uptime on their SLA. This makes cloud-based IIoT solutions unusable in mission-critical applications.
Edge computing offers an opportunity to achieve real innovation by decentralising IIoT apps, whereby industrial protocol converters, lightweight databases, serverless functions, and Machine Learning & AI modules reside on the edge device at the factory floor. Right at the source of the data. Tremendously accelerating time to insight and action, and enabling usage of IIoT in mission-critical apps.
In the video below, I’ll show you how to deploy one such Edge Computing Framework, Azure IoT Edge, onto a Linux device. In this case, a Raspberry Pi 3 running Raspbian. Setting the stage for deploying custom & prebuilt modules.
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