Developing for the edge in a lab is one thing. Running the same application across hundreds of geographically distributed devices is something else. Different hardware, isolated networks, and remote locations quickly turn deployment and operations into a nightmare. And today, it is not enough to simply run workloads closer to the data. Edge AI applications also need secure networking and reliable messaging so services can share intelligence across the entire cluster.

In this live demo, you will see how Eclipse ioFog makes this simple. We will onboard production-ready edge devices in just a few minutes using Edgelet, a lightweight, hardware-agnostic runtime. Then we will securely deploy and manage containerised workloads across the deployment.

You will see that zero-trust, scalable networking is built into the platform. There is no need for complex network setup or manual configuration.

Next, we will show how a virtual application network securely connects edge services across isolated networks. You will see how applications communicate as if they were running on the same local network.

Finally, we will demonstrate the NATs-based distributed messaging layer and show how decentralised authentication and authorisation help keep edge applications secure as they scale.