Azure IoT Edge moves cloud analytics and custom business logic to devices so that your organization can focus on business insights instead of data management. Enable your solution to truly scale by configuring your IoT software, deploying it to devices via standard containers, and monitoring it all from the cloud.
Analytics drives business value in IoT solutions, but not all analytics needs to be in the cloud. If you want a device to respond to emergencies as quickly as possible, you can perform anomaly detection on the device itself. Similarly, if you want to reduce bandwidth costs and avoid transferring terabytes of raw data, you can perform data cleaning and aggregation locally. Then send the insights to the cloud.
In this lab you will learn about
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Deploy a Linux machine and make it an edge device
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Deploy Modules and learn how to create routes
In Azure portal click on Create a resource
Select Ubuntu Server
Create server in its own resource group. You can delete the resource group after the lab is competed.
Select DS1_V2 for VM Size
Leave everything default
Click Create button
Got To the Resource Group created for IoT Edge and select the VM. Click Connect button to get the ssh command to connect to the VM.
Copy the SSH command
Click on Cloud shell in the portal
Make sure you select Bash shell
Once logged into Cloud Shell type the command
$ ssh iotedgeadmin@ipaddress
You will be prompted to enter the password which you entered when creating the Ubuntu VM. Enter the password and press enter.
You will successfully login to Ubuntu VM
Change user to get root access by entering the following command
sudo su -
Check for Python version, you should have 2.7.X version.
python --version
Update the apt package index
apt install docker.io
Update the apt package index.
Check for docker version
docker --version
You should have a docker version installed.
Install pip
sudo apt-get install python-pip
Install IoT Edge Runtime
sudo pip install -U azure-iot-edge-runtime-ctl
Check IoT Edge Runtime version
iotedgectl --version
Create IoT Edge Device using IoT Hub. Click on IoT Edge from Azure Portal.
Click on + Add IoT Edge Device
Add new IoT Edge device and Click Save
New Edge Device is created. Click on the device
Copy primary connection string
Setup Device with the following command. Make sure replace device connection string with the primary connection string you copied.
iotedgectl setup --connection-string "{device connection string}" --nopass
Start the runtime with
iotedgectl start
Check Docker to see that the IoT Edge agent is running as a module
docker ps
One of the key capabilities of Azure IoT Edge is being able to deploy modules to your IoT Edge devices from the cloud. An IoT Edge module is an executable package implemented as a container. In this section, you deploy a module that generates telemetry for your simulated device.
- In the Azure portal, navigate to your IoT hub.
- Go to IoT Edge (preview) and select your IoT Edge device.
- Select Set Modules.
- Select Add IoT Edge Module.
- In the Name field, enter tempSensor.
- In the Image URI field, enter microsoft/azureiotedge-simulated-temperature-sensor:1.0-preview.
- Leave the other settings unchanged, and select Save.
- Back in the Add modules step, select Next.
- In the Specify routes step, select Next.
- In the Review template step, select Submit.
- Return to the device details page and select Refresh. You should see the new tempSensor module running along the IoT Edge runtime.
On the edge device type docker ps to list all the modules running. You should see tempSensor module running
docker ps
View logs of tempSensor module to see the data being sent to IoT Hub
docker logs -f tempSensor
