andrewsykim

earthly-kube

Kubernetes built with Earthly

earthly-lsp

ray-enhancements

Tracking Ray Enhancement Proposals

ai-on-gke

apiserver-network-proxy

buildkit

concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit

cel-spec

Common Expression Language -- specification and binary representation

cloud-provider-gcp

cloud-provider-vsphere

cluster-api

Home for the Cluster Management API work, a subproject of sig-cluster-lifecycle

community

Kubernetes community content

e2e-framework

An experimental e2e testing framework for Kubernetes clusters.

earthly

Repeatable builds

enhancements

Features tracking repo for Kubernetes releases

gitdm

Fork for tracking CNCF projects

k-yaml

random kubernetes yaml

k8s.io

Kubernetes files for various *.k8s.io sites

kube-storage-version-migrator

kubelet-credential-providers

kuberay

A toolkit to run Ray applications on Kubernetes

kubernetes

Production-Grade Container Scheduling and Management

kueue

Kubernetes-native Job Queueing

meta-buildkit

Toy project using buildkit LLB

org

Meta configuration for Kubernetes Github Org

perf-tests

Performance tests and benchmarks

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

sample-webhook

A sample Kubernetes webhook

sriov

Just hacking around with SRIOV

test-infra

Test infrastructure for the Kubernetes project.

website

Kubernetes website and documentation repo: