KubeEdge is an open source system for extending native containerized application orchestration capabilities to Arm-based hosts at the edge.

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KubeEdge-Overview

KubeEdge is an open source edge computing platform built upon Kubernetes with cloud native technologies. It provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQ Telemetry Transport (MQTT) and allows developers to author custom logic and enable resource constrained device communication at the multi-arch Edge. KubeEdge can be applied on IoT, lightweight edge, multi-access edge computing (MEC) and enterprise edge and more.


Edge cloud computing

With business logic running at the edge, much larger volumes of data can be secured and processed locally where the data is produced. KubeEdge extends native containerized application orchestration capabilities from cloud to the multi-arch edge nodes. This reduces the network bandwidth requirements between the edge and cloud, increases responsiveness, decreases costs, and protects customers’ data privacy.

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Kubernetes-native

KubeEdge is built upon Kubernetes with cloud native technologies. Developers can orchestrate applications, manage devices and monitor app and device status on edge nodes just like a traditional Kubernetes cluster in the cloud.

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Community development

KubeEdge became a CNCF sandbox project in March 2019. Since then it has attracted hundreds contributors from almost dozens of different organizations, hundreds of forks, and accumulated thousands of GitHub Stars. KubeEdge is licensed under Apache 2.0. and free for personal or commercial use. KubeEdge is always happy to welcome contributors.

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Resources

Community Forums

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Answered Forum FAQs Started 5 months ago by Annie 0 replies 744 views
Suggested answer How to make fabric3 to use host ssh config Latest 19 hours ago by snahtajain 1 replies 465 views
Not answered Things to be kept in mind while getting an Adjustable computer desk online! Started 20 hours ago by rack finity 0 replies 35 views
Not answered Batch Size in ARM-CL Started yesterday by ShD 0 replies 30 views
Not answered Free online homework help Started yesterday by Mical Wilson 0 replies 36 views
Not answered Multiple Networks Running on GPU are time shared or space shared? Started 5 days ago by ShD 0 replies 42 views