The KubeEdge team presented their case for sandboxing at the CNCF TOC meeting on 12th March 2019.

Edge Computing with KubeEdge

Cloud computing is far away from terminal devices (such as cameras, sensors, etc.). For real-time computing requirements, placing calculations on the cloud can cause long network delays, network congestion, and degradation of service quality. Terminal devices usually have insufficient computing power and cannot be compared to the cloud. In this case, edge computing came into being, extending the cloud computing power to the edge nodes close to the terminal device, which perfectly solved the above problem.

As the world's first open source edge computing platform for Kubernetes, KubeEdge relies on Kubernetes' container orchestration and scheduling capabilities to provide the ability to extend the application on the cloud to the edge by managing the edge nodes of the user, and to link the data on the edge side and the cloud to meet the requirements. Customer's remote control, data processing, analysis and decision-making, and intelligent appeal for edge computing resources. At the same time, it provides unified equipment/application monitoring, log collection and other operation and maintenance capabilities in the cloud, providing enterprises with complete edge computing solutions for integrated cloud and cloud services.

KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.

Today we announce the v0.2 release of KubeEdge.​

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