nkaul/AzureIoTHandsOnLabs

Azure IoT Hands On Labs

Overview

In this workshop you will:

Generate an instance of the Azure IoT Remote Monitoring solution
Connect a temperature/humidity sensor to a Raspberry PI running Linux
Used the Azure IoT Python SDK to connect the Pi to Azure IotHub
- Including the new device management features
Used Azure Stream Analytics to look for “high temperature” alerts
Leveraged an Azure Function to send a command back to the alerting device

Modules

Prerequisites

Install python 2.7 https://www.python.org/downloads/
Install the Device Explorer tool from https://github.com/Azure/azure-iot-sdks/releases/download/2016-11-17/SetupDeviceExplorer.msi
Install Putty (if on a Windows PC) - http://www.putty.org/
Install drivers for the USB to Serial cable (we provide the actual cable) - https://learn.adafruit.com/adafruits-raspberry-pi-lesson-5-using-a-console-cable?view=all
Access to an Azure Subscription

Useful Resources

Azure IoT Reference Architecture

The reference architecture provides guidance for building secure and scalable, device-centric solutions for connecting devices, conducting analysis, and integrating with back-end systems.

http://download.microsoft.com/download/A/4/D/A4DAD253-BC21-41D3-B9D9-87D2AE6F0719/Microsoft_Azure_IoT_Reference_Architecture.pdf

Azure IoT Preconfigured Solutions

The Azure IoT Suite preconfigured solutions are implementations of common IoT solution patterns that you can deploy to Azure using your subscription. You can use the preconfigured solutions: As a starting point for your own IoT solutions. To learn about common patterns in IoT solution design and development.

https://azure.microsoft.com/en-us/documentation/articles/iot-suite-what-are-preconfigured-solutions/

https://github.com/Azure/azure-iot-remote-monitoring

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