Hi !
Another quick post in [Brain backup mode]. This one for a very simple scenario when working with Azure IoT modules:
Mapping a local folder in an Azure IoT Edge module with an Edge device folder
There is a full post on Azure IoT Documentation (see references). And I’ll resume the post here.

Add this configuration to
{
"HostConfig": {
"Binds": [
"[EdgeDeviceFolder]:[AzureIoTModuleFolder]"
]
}
}
Where:
- EdgeDeviceFolder is the folder on the edge device
- AzureIoTModuleFolder is the folder on the module, defined the docker image
Of course, you need to grant access to the EdgeDeviceFolder. 2 commands for this
sudo chown 1000 <EdgeDeviceFolder>
sudo chmod 700 <EdgeDeviceFolder>
And that’s it! super easy!
Happy coding!
Greetings
El Bruno
More posts in my blog ElBruno.com.
More info in https://beacons.ai/elbruno
References
Azure ☁ IoT
- Install ☁ Azure IoT on Raspberry Pi
- Deploy ☁ Azure Blob Storage on IoT Edge, lessons learned
- Connect to ☁ Azure Blob Storage on IoT Edge using Microsoft Azure Storage Explorer
- Lesson learned and tips on how to install Azure IoT Edge on Ubuntu on a Raspberry Pi
- Azure IoT Explorer, in preview and awesome
- Mapping a local ☁ Azure IoT Edge folder module with an Edge device folder 📁
- Creating a folder 📂 in the docker definition in an ☁ Azure IoT Edge
- Granting access to Raspberry Pi GPIO from an ☁ Azure IoT Edge Module
Create an Azure IoT Module using Raspberry Pi and Grove Sensors
- Raspberry Pi + Grove Sensors, read temperature and humidity values
- Raspberry Pi + Grove Sensors, send temperature and humidity values as telemetry to Azure IoT Hub
- Raspberry Pi + Grove Sensors, create a Azure IoT Module to send temperature and humidity values as telemetry to Azure IoT Hub
- Raspberry Pi + Grove Sensors, publish and use the Azure IoT Module
- Raspberry Pi + Grove Sensors, notes on build and configuration
- Raspberry Pi + Grove Sensors, details on how to send a telemetry message and sample messages
Create an Azure IoT Module from Azure Custom Vision project
- Create and export a Custom Vision Project as Docker image
- Analyze the content of the CV Docker image
- Create and analyze an Azure IoT Module
- Merge the CV project as an Azure IoT Module
- Deploy to an Azure IoT device and test the CV module
- Send telemetry for each analyzed image
- Add digital twin configuration to the Azure IoT module (coming soon)
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