Jordan Karapanagiotis
Jordan is a software engineer with focus in IoT systems and remote sensing applications. The last 6 years he has been in AgTech startups that help growers optimize their resources and yield. Currently he is working for the TreeScout project at Aurea Imaging, a device that gives farmers tree-level data about their orchards using sensors, AI and cloud-native tools.
Sessions
How do you take the best of cloud-native beyond the data center, to empower farmers in the field?
Aurea Imaging powers precision agriculture by running AI inference directly on devices mounted on tractors. Using onboard sensors, cameras, and GPUs, these devices analyze trees in real time to optimize spraying and reduce waste. But getting cloud-native workloads to run reliably on the far edge, in environments that are often air-gapped, disconnected, and physically demanding, requires more than just containerizing code.
Together with the CNCF Sandbox project Kairos, Aurea Imaging built a production platform where devices boot from container images: an immutable, reproducible system running K3s and managing its lifecycle “as code.” This approach replaces traditional embedded provisioning with declarative configuration, image-based deployment, and seamless OTA updates, bringing the power of cloud-native and AI beyond the data center.