Akri lets you easily expose heterogeneous leaf devices (such as IP cameras and USB devices) as resources in a Kubernetes cluster, while also supporting the exposure of embedded hardware resources such as GPUs and FPGAs. Akri continually detects nodes that have access to these devices and schedules workloads based on them.
SuperEdge is an open source container management system for edge computing to manage compute resources and container applications in multiple edge regions. These resources and applications, in the current approach, are managed as one single Kubernetes cluster. A native Kubernetes cluster can be easily converted to a SuperEdge cluster.
You probably have heard the news by now that Microsoft have released the Linux version of their new Chromium-based Edge web browser. Of course I’ve been waiting for this day ever since they announced the switcheroo to Chromium in order to bring Plasma Browser Integration to Edge users. It took Microsoft almost two decades to offer another web browser to a Unixoid desktop and this time around it’s based on KDE’s legacy – what a time to be alive!
One of the hallmarks of “the edge” in computing is the array of sensors, controllers, and microcontroller unit (MCU) class devices that produce data and perform actions. For Kubernetes to be a versatile edge computing solution, a cluster needs to easily find these leaf devices. Most of these devices, however, are too small to run Kubernetes themselves. How can they be leveraged by a Kubernetes workload? How can a Kubernetes Pod find or access their outputs? Akri is the answer!
KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge.It is built upon kubernetes and provides fundamental infrastructure support for network, app. deployment and metadata synchronization between cloud and edge. Kubeedge is licensed under Apache 2.0. and free for personal or commercial use absolutely. We welcome contributors!
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