Deploy containerized applications where latency matters most, powered by KubeEdge
The traditional "Cloud-Only" model often fails when data needs to be processed in milliseconds or when bandwidth is limited. Edge computing solves these challenges by:
Process data where it is generated, enabling real-time decision-making for autonomous systems and robotics.
Reduce costs by processing data locally and only sending essential metadata or high-value insights to the cloud.
Keep sensitive data on-premises, ensuring compliance with local data residency and privacy regulations.
Ensure critical operations continue even when the internet or cloud connection is interrupted.
As an official Maintainer of the KubeEdge CNCF project, we provide the expertise and infrastructure to bridge the gap between your central cloud and your distributed edge devices. We don't just use the technology—we help build the industry standard for extending containerized application orchestration to the farthest reaches of the network.
KubeEdge is an open-source system for extending native containerized application orchestration capabilities to hosts at the Edge. Built on Kubernetes, it provides the fundamental infrastructure support for network, deployment, and metadata synchronization between the cloud and the edge.
As Maintainers, we ensure our clients leverage a version of KubeEdge that is optimized for scale, providing a seamless "Cloud-Native" experience for IoT and Edge environments.
Implement real-time defect detection on assembly lines using AI models deployed directly on the factory floor.
Manage traffic flow, public safety, and lighting systems across thousands of distributed intersections with centralized control.
Monitor remote wind farms or oil rigs where bandwidth is scarce and offline reliability is critical for safety and efficiency.
Power "Just Walk Out" technology and automated inventory management across thousands of global store locations.
Our solution treats every "thing" as a first-class citizen in your Kubernetes ecosystem, managing the hierarchy from core to device.
Utilizes a standard Kubernetes control plane with our optimized CloudCore to manage orchestration, scheduling, and sync.
EdgeCore runs on gateways or industrial PCs. It manages local pods and storage, ensuring applications run even during network partitions.
Connected sensors and actuators are managed via Device Mappers, supporting protocols like MQTT, Modbus, Bluetooth, and OPC-UA.
| Feature | Benefit |
|---|---|
| Edge Mesh | Enables peer-to-peer communication between edge nodes, reducing latency and reliance on backhaul. |
| Device Twin | Digital representation of physical devices, allowing you to manage IoT sensors via standard Kubernetes APIs. |
| Massive Scalability | Manage 100,000+ edge nodes and millions of devices through a single, unified control plane. |
| Resource Efficiency | A lightweight footprint designed for resource-constrained hardware without sacrificing performance. |
When you partner with us, you are partnering with the architects of the technology. We provide:
Tailored features for your specific hardware or protocol needs.
Direct access to the experts who contribute to the KubeEdge codebase.
Early access to features and deep alignment with the CNCF roadmap.
Deploy cloud-native intelligence where latency matters most. Partner with the maintainers of KubeEdge to bring containerized workloads to the edge of your network.