Azure IoT Documentation

Azure IoT Tutorials

This section provides a curated list of tutorials to help you get started with and master Azure IoT services. Whether you're building your first connected device or scaling a complex solution, you'll find guidance here.

Featured Tutorials

• 💡

  Real-time Device Monitoring and Visualization

  Learn how to set up real-time dashboards to monitor your IoT devices using Azure services like IoT Hub and Power BI.

• ⚙️

  Advanced Device Management

  Explore techniques for managing device twins, direct methods, and scheduled jobs for large-scale device operations.

• 🤖

  Azure IoT Edge for Edge Computing

  Discover how to deploy cloud workloads, including analytics and custom business logic, to your edge devices.

• 🔒

  Securing Your IoT Solution

  Implement best practices for securing your IoT devices, data, and applications from end-to-end.

Tutorial Deep Dives

1. Basic Device-to-Cloud Connection

This tutorial guides you through the process of connecting a simple IoT device (e.g., Raspberry Pi, Arduino) to Azure IoT Hub. You will learn to send telemetry data from the device to the cloud.

Prerequisites:

• An Azure subscription.
• An Azure IoT Hub instance.
• A compatible IoT device.
• Development environment set up for your device.

Steps:

1. Register your device in Azure IoT Hub.
2. Obtain the device connection string.
3. Write device code to connect to IoT Hub and send messages.
4. Verify message reception in Azure IoT Hub.

For code examples and detailed instructions, please refer to the official Azure IoT SDK documentation.

Real-time Device Monitoring and Visualization

Learn to create dynamic dashboards that display the telemetry data from your devices in real-time. This involves connecting IoT Hub to Azure services like Stream Analytics and Power BI.

Key technologies:

• Azure IoT Hub
• Azure Stream Analytics
• Power BI

See the detailed guide: Monitor IoT Devices in Real-time.

Azure IoT Edge for Edge Computing

This tutorial introduces Azure IoT Edge, enabling you to run cloud analytics and other Azure services on your IoT devices. This reduces latency, saves bandwidth, and allows for offline operation.

Key Concepts:

• Edge Modules
• IoT Edge Runtime
• Deployment Manifests

Learn more: Introduction to Azure IoT Edge.

Code Snippet Example

Here's a basic example of sending a message from a device using the Azure IoT SDK (Python):

import asyncio
from azure.iot.device.aio import IoTHubDeviceClient

async def main():
    # Replace with your device connection string
    conn_str = "YOUR_DEVICE_CONNECTION_STRING"
    device_client = IoTHubDeviceClient.create_from_connection_string(conn_str)

    await device_client.connect()

    # Send a telemetry message
    message = "Hello, Azure IoT!"
    print(f"Sending message: {message}")
    await device_client.send_message(message)
    print("Message sent successfully.")

    await device_client.disconnect()

if __name__ == "__main__":
    asyncio.run(main())