Testing IoT Edge at scale has some practical challenges. Where do you get all the hardware from if you want to test on two, or five, or twenty, or more devices?
The Azure cloud provides a simple solution: just spin up a bunch of Virtual Machines each running the IoT Edge Runtime. As long as you can provide the VMs access to simulated sensors instead of physical sensors, you are good to go.
Let’s dive a little bit deeper into the preconfigured VM that Microsoft recommends for these situations.
Doorgaan met het lezen van “Azure IoT Edge on Ubuntu VM”
The current Azure IoT Edge public preview uses Docker to deploy logic from the cloud into local gateways. It’s currently featuring:
- C# modules written in .Net standard
- Python modules
- Azure Function built on your machine
- Azure Stream Analytics jobs built and deployed in the cloud
- Azure Machine Learning
We can expect Microsoft will support other types of modules soon as they have proven with other recent projects. An Azure Cognitive Services module is a good example, it’s put in every IoT Edge presentation.
The IoT Edge portal makes it possible to deploy modules which are available in private or public image repositories.
Could it be possible to build and deploy images to the gateway which are not specifically designed for IoT Edge?
It turns out, it is possible.
Let’s deploy a NodeJS server which serves SocketIO.
Doorgaan met het lezen van “Deploying a NodeJS server with SocketIO to Docker using Azure IoT Edge”