"For OpenYurt, Kubernetes at the edge means running workloads outside centralised data centres at locations like branch offices or IoT sites. This helps reduce latency, improve reliability when connectivity is limited, and enable tasks such as analytics, machine learning, and device management, all while maintaining consistency with upstream Kubernetes. As the CNCF notes in its Cloud Strategies and Edge Computing blog, deploying compute resources closer to the network edge can deliver high-speed connectivity, lower latency, and enhanced security."
"The CNCF highlighted growing community adoption of OpenYurt as part of its move to incubation. In its announcement, the foundation also noted that the project's maintainer base has grown from 3 to 9, now including contributors from Microsoft, Alibaba, VMware, Intel, Inspur, Sangfor, Tongji University, and independent developers. GitHub activity also reflects community interest, with over 1,800 stars and active issue tracking. The source code is available on GitHub under the Apache 2.0 license."
OpenYurt, created by Alibaba in 2020, extends Kubernetes to edge computing environments while remaining compatible with the upstream Kubernetes API. It enables workloads to run outside centralized data centers at branch offices and IoT sites, reducing latency and improving reliability when connectivity is limited. OpenYurt supports analytics, machine learning, and device management while preserving consistency with upstream Kubernetes. The project has expanded its maintainer base and shows active GitHub engagement with over 1,800 stars. OpenYurt focuses on cluster management and governance across distributed edge sites and joins other CNCF edge projects.
Read at InfoQ
Unable to calculate read time
Collection
[
|
...
]