How to Scale End-to-End Observability in AWS Environments

KubeEdge to Join the CNCF

TL;DR

The CNCF Technical Oversight Committee (TOC) voted to approve KubeEdge as a hosted project at the incubation stage.

KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge (Photo by NASA on Unsplash)
KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge (Photo by NASA on Unsplash)
Key Facts
  1. 1

    The primary mission of KubeEdge is to expand cloud capabilities to the edge by extending native containerized application orchestration capabilities to hosts at edge.

  2. 2

    It is built upon kubernetes and provides fundamental infrastructure support for network, app deployment and metadata synchronization between cloud and edge.

  3. 3

    KubeEdge is originally developed at Futurewei, an affiliate of Huawei.

  4. 4

    KubeEdge was accepted as a CNCF Sandbox project in March 2019, and released version 1.0 in June 2019.

  5. 5

    KubeEdge has reached more than 395 contributors from 25 organizations since joining the CNCF.

  6. 6

    The project has 14 maintainers from 5 different organizations, including Huawei and China Unicom. It is also used in production by some companies like Huawei Cloud and KubeSphere.

  7. 7

    The project has 2,500+ Commits, 2,900+ GitHub Stars and more than 780 Forks.

Details

KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. It provides fundamental infrastructure support for network, application deployment, and metadata synchronization between cloud and edge. It is licensed under Apache 2.0. and free for personal or commercial use.

KubeEdge is composed of two main parts: The cloud part and the edge one.

The cloud part consists of CloudHub, EdgeController, and DeviceController. While the edge part is composed of EdgeHub, Edged, EventBus, ServiceBus, DeviceTwin, and MetaManager.

We designed KubeEdge to address three major challenges in edge computing – network reliability between the cloud and edge, resource constraint on edge nodes, and scalability challenges of highly distributed edge architectures. By extending cloud native technologies to the edge, KubeEdge forms a complete edge cloud computing ecosystem. We are very excited to continue to make the project more robust as it moves to incubation.
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Zefeng Wang
Co-founder, KubeEdge

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How to Scale End-to-End Observability in AWS Environments

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