kubespray - Setup a kubernetes cluster

•    Python

If you have questions, join us on the kubernetes slack, channel #kubespray.Note: Upstart/SysV init based OS types are not supported.

awesome-kubernetes - A curated list for awesome kubernetes sources :ship::tada:

•    Makefile

Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery.

kubespray - Deploy a Production Ready Kubernetes Cluster

•    Python

probably pointing on a task depending on a module present in requirements.txt (i.e. "unseal vault"). One way of solving this would be to uninstall the Ansible package and then, to install it via pip but it is not always possible. A workaround consists of setting ANSIBLE_LIBRARY and ANSIBLE_MODULE_UTILS environment variables respectively to the ansible/modules and ansible/module_utils subdirectories of pip packages installation location, which can be found in the Location field of the output of pip show [package] before executing ansible-playbook.

wayne - Web UI for Kubernetes multi-clusters

•    TypeScript

Wayne is a universal, web-based Kubernetes multi-cluster management platform. It reduces service access costs by visualizing Kubernetes object template editing. With a complete permission management system and adapting to multi-tenant scenarios, it is a publish platform suitable for enterprise-level clusters. Wayne has been serving 360 search on a large scale, carrying most of the online services, stably managing nearly a thousand applications, tens of thousands of containers, running for more than two years, withstood the test of production.

sonobuoy - Heptio Sonobuoy is a diagnostic tool that makes it easier to understand the state of a Kubernetes cluster by running a set of Kubernetes conformance tests in an accessible and non-destructive manner

•    Go

Heptio Sonobuoy is a diagnostic tool that makes it easier to understand the state of a Kubernetes cluster by running a set of Kubernetes conformance tests in an accessible and non-destructive manner. It is a customizable, extendable, and cluster-agnostic way to generate clear, informative reports about your cluster. Sonobuoy supports Kubernetes versions 1.9 and later.

match - :crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch

•    Python

Match makes it easy to search for images that look similar to each other. Using a state-of-the-art perceptual hash, it is invariant to scaling and 90 degree rotations. Its HTTP API is quick to integrate and flexible for a number of reverse image search applications. Kubernetes and Elasticsearch allow Match to scale to billions of images with ease while giving you full control over where your data is stored. Match uses the awesome ascribe/image-match under the hood for most of the image search legwork. The number of gunicorn workers to spin up.

kube-aws - Kubernetes on AWS

•    Go

Note: The master branch may be in an unstable or even broken state during development. Please use releases instead of the master branch in order to get stable binaries.kube-aws is a command-line tool to create/update/destroy Kubernetes clusters on AWS.

kismatic - Kismatic Enterprise Toolkit: Fully-Automated, Production-Grade Kubernetes Operations

•    Go

Installation Overview -- Instructions on using KET to install a Kubernetes cluster.Upgrading Your Cluster -- Instructions on using KET to upgrade your Kubernetes cluster.

pipeline - A step by step guide on creating build and deployment pipelines for Kubernetes.

The pipeline tutorial walks you through creating an end-to-end deployment pipeline using Cloud Container Builder, GitHub, and multiple Kubernetes clusters. This tutorial will demonstrate how to propagate a Kubernetes deployment through multiple environments, each backed by a dedicated Kubernetes cluster, using a collection of Kubernetes manifest files across a set of GitHub repositories representing each environment.

eksctl - a CLI for Amazon EKS

•    Go

eksctl is a simple CLI tool for creating clusters on EKS - Amazon's new managed Kubernetes service for EC2. It is written in Go, and uses CloudFormation. You will need to have AWS API credentials configured. What works for AWS CLI or any other tools (kops, Terraform etc), should be sufficient. You can use ~/.aws/credentials file or environment variables. For more information read AWS documentation.

containerum - Container management platform with UI, teamwork and CI/CD pipelines.

•    Smarty

Containerum is an open source platform for the complete management of Kubernetes clusters. Containerum features tools for simple CI/CD pipelines setup, revision control, and role management. Release notes are available here.

Kubernetes-GPU-Guide - This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster

•    Shell

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster. Therefore I will explain how to easily setup a GPU cluster on multiple Ubuntu 16.04 bare metal servers and provide some useful scripts and .yaml files that do the entire setup for you. By the way: If you need a Kubernetes GPU-cluster for other reasons, this guide might be helpful to you as well.

kubernetes-vagrant-centos-cluster - Setting up a distributed Kubernetes cluster along with Istio service mesh locally with Vagrant and VirtualBox

•    Shell

Setting up a Kubernetes cluster and istio service mesh with vagrantfile which consists of 1 master(also as node) and 3 nodes. You don't have to create complicated CA files or configuration. Because I want to setup the etcd, apiserver, controller and scheduler without docker container.

zero-to-jupyterhub-k8s - Resources for deploying JupyterHub to a Kubernetes Cluster

•    Python

This is under active development and subject to change. This repo contains resources, such as Helm charts and the Zero to JupyterHub Guide, which help you to deploy JupyterHub on Kubernetes.

ksync - Sync files between your local system and a kubernetes cluster.

•    Go

ksync speeds up developers who build applications for Kubernetes. It transparently updates containers running on the cluster from your local checkout. This enables developers to use their favorite IDEs, such as Atom or Sublime Text to work from inside a cluster instead of from outside it. There is no reason to wait minutes to test code changes when you can see the results in seconds. You can also download the latest release and install it yourself.

k3sup - k3sup: from Zero to KUBECONFIG in < 1 min

•    Go

k3sup is a light-weight utility to get from zero to KUBECONFIG with k3s on any local or remote VM. All you need is ssh access and the k3sup binary to get kubectl access immediately. The tool is written in Go and is cross-compiled for Linux, Windows, MacOS and even on Raspberry Pi.

k8s-on-raspbian - Kubernetes on Raspbian (Raspberry Pi)

•    Shell

This guide is part of a larger blog post: Build your own bare-metal ARM cluster. Once you're up and running please share your clusters on Twitter with @alexellisuk.

kubespawner - Kubernetes spawner for JupyterHub

•    Python

The kubespawner (also known as JupyterHub Kubernetes Spawner) enables JupyterHub to spawn single-user notebook servers on a Kubernetes cluster. You can read a list of all the spawner options available on ReadTheDocs.

kubectl-trace - Schedule bpftrace programs on your kubernetes cluster using the kubectl

•    Go

kubectl trace is a kubectl plugin that allows you to schedule the execution of bpftrace programs in your Kubernetes cluster. You can't find the package for your distro of choice? You are very welcome and encouraged to create it and then open an issue to inform us for review.

katlas - A distributed graph-based platform to automatically collect, discover, explore and relate multi-cluster kubernetes resources and metadata

•    Go

K-Atlas (pronounced Cutlass), is a distributed graph based platform to automatically collect, discover, explore and relate multi-cluster Kubernetes resources and metadata. K-Atlas's rich query language allows for simple and efficient exploration and extensibility. It addresses following problems in a large scale enterprise environment of Kubernetes.