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AI on GKE is a collection of examples, best-practices, and prebuilt solutions to help build, deploy, and scale AI Platforms on Google Kubernetes Engine
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit to run Ray applications on Kubernetes
Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.
Pinniped is the easy, secure way to log in to your Kubernetes clusters.
Multi-cluster DNS for Cluster API
A Go framework for end-to-end testing of components running in Kubernetes clusters.
The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
This repository hosts the Multi-Cluster Service APIs. Providers can import packages in this repo to ensure their multi-cluster service controller implementations will be compatible with MCS data pl…
Seesaw v2 is a Linux Virtual Server (LVS) based load balancing platform.
clientgofix rewrites calls to old k8s.io/client-go methods to use newer invocations
IPVS networking for containers (package derived from moby/libnetwork)
An open source trusted cloud native registry project that stores, signs, and scans content.
Non-Kubernetes-specific utility libraries which are consumed by multiple projects.
Crash-Diagnostics (Crashd) is a tool to help investigate, analyze, and troubleshoot unresponsive or crashed Kubernetes clusters.
Highly extensible platform for developers to better understand the complexity of Kubernetes clusters.
Managed Kubernetes designed for simple and cost effective container orchestration.