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attlee-wang's Projects

kpng icon kpng

Reworking kube-proxy's architecture

kraken icon kraken

P2P Docker registry capable of distributing TBs of data in seconds

kruise icon kruise

Automate application workloads management on Kubernetes

kube-aggregator icon kube-aggregator

Aggregator for Kubernetes-style API servers: dynamic registration, discovery summarization, secure proxy

kube-ops-view icon kube-ops-view

Kubernetes Operational View - read-only system dashboard for multiple K8s clusters

kube-vip icon kube-vip

Kubernetes Control Plane Virtual IP and Load-Balancer

kubeadm-ha icon kubeadm-ha

Kubernetes high availiability deploy based on kubeadm (English/中文 for v1.14.x/v1.11.x/v1.9.x/v1.7.x/v1.6.x)

kubeedge icon kubeedge

Kubernetes Native Edge Computing Framework (project under CNCF)

kubeflow icon kubeflow

Machine Learning Toolkit for Kubernetes

kubeoperator icon kubeoperator

KubeOperator 是一个开源项目,通过 Web UI 在 VMware、OpenStack 和物理机上规划、部署和运营生产级别的 Kubernetes 集群。支持内网离线环境、支持 GPU、内置应用商店,已通过 CNCF 的 Kubernetes 软件一致性认证。

kubernetes icon kubernetes

Production-Grade Container Scheduling and Management

kubernetes-handbook icon kubernetes-handbook

Kubernetes中文指南/云原生应用架构实践手册 - https://jimmysong.io/kubernetes-handbook

kubevirt icon kubevirt

Kubernetes Virtualization API and runtime in order to define and manage virtual machines.

kuboard-press icon kuboard-press

Kuboard 是基于 Kubernetes 的微服务管理界面。同时提供 Kubernetes 免费中文教程,入门教程,最新版本的 Kubernetes v1.16.2 安装手册,(k8s install) 在线答疑,持续更新。

kui icon kui

A hybrid command-line/UI development experience for cloud-native development

llama icon llama

Inference code for LLaMA models

microk8s icon microk8s

MicroK8s is a small, fast, single-package Kubernetes for developers, IoT and edge.

moby icon moby

Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

multi-cluster-app-dispatcher icon multi-cluster-app-dispatcher

Holistic job manager on Kubernetes capable of (i) provides an abstraction for wrapping all resources of the job/application and treating them holistically, (ii) queuing job/application creation requests and applying different queuing policies, e.g., FIFO, Priority, (iii) dispatching the job to one of multiple clusters, where a queuing agent runs, using configurable dispatch policies, and (iv) auto-scaling pod sets balancing job demands and cluster availability.

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