
This leads us to infrastructure of any IoT solution — hardware, firmware, and software parts.
This time, let’s take a close look at Microsoft Azure IoT Suite.
It’s Azure IoT Suite helps to develop various custom IoT products and easily evaluate their final cost.
Microsoft Azure IoT services include:
You can integrate these services to most operating systems and devices; collect and analyze torrents of data and then use it for real-time predictive analytics.
You can monitor your connected network, track various events, and receive alarms in case of any issues.


This article is about connecting Raspberry Pi as an edge point for sending signals to a light-emitting diode panel using Azure IoT Edge module. We’ll use Azure CLI for the majority of our steps and Azure Portal to deploy Azure IoT Edge.
Here’s what we need for this task:
- Raspberry Pi 3 Model B+ (a light-emitting diode panel)
- Microsoft Azure account
- Azure CLI (the latest version)
- Azure IoT CLI extension
We’ve also described general benefits and features of Microsoft Azure IoT Suite in our previous post. You can explore it at link - Microsoft Azure IoT Suite: Benefits and Features

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