A Kubernetes multi-node cluster for developer of Kubernetes and projects that extend Kubernetes. Based on kubeadm and DIND (Docker in Docker). Supports both local workflows and workflows utilizing powerful remote machines/cloud instances for building Kubernetes, starting test clusters and running e2e tests.
https://github.com/Mirantis/kubeadm-dind-clusterTags | kubernetes kubeadm dind |
Implementation | Shell |
License | Apache |
Platform |
A Kubernetes multi-node cluster for developer of Kubernetes and projects that extend Kubernetes. Based on kubeadm and DIND (Docker in Docker). Supports both local workflows and workflows utilizing powerful remote machines/cloud instances for building Kubernetes, starting test clusters and running e2e tests.
kubernetes kubeadm dind k8s k8s-sig-cluster-lifecyclekURL is a Kubernetes installer for airgapped and online clusters. kURL relies on kubeadm to bring up the Kubernetes control plane, but there are a variety of tasks a system administrator must perform both before and after running kubeadm init in order to have a production-ready Kubernetes cluster, such as installing Docker, configuring Pod networking, or installing kubeadm itself. The purpose of this installer is to automate those tasks so that any user can deploy a Kubernetes cluster with a single script.
bash kubernetes kubernetes-cluster ceph kubeadm rook contour kubernetes-installation airgapped kurl kubernetes-installerkube-apiserver: exposes the Kubernetes API. It is the front-end for the Kubernetes control plane. It is designed to scale horizontally – that is, it scales by deploying more instances. etcd: is used as Kubernetes’ backing store. All cluster data is stored here. Always have a backup plan for etcd’s data for your Kubernetes cluster. kube-scheduler: watches newly created pods that have no node assigned, and selects a node for them to run on. kube-controller-manager: runs controllers, which are the background threads that handle routine tasks in the cluster. Logically, each controller is a separate process, but to reduce complexity, they are all compiled into a single binary and run in a single process. kubelet: is the primary node agent. It watches for pods that have been assigned to its node (either by apiserver or via local configuration file) kube-proxy: enables the Kubernetes service abstraction by maintaining network rules on the host and performing connection forwarding. keepalived cluster config a virtual IP address (192.168.20.10), this virtual IP address point to k8s-master01, k8s-master02, k8s-master03. nginx service as the load balancer of k8s-master01, k8s-master02, k8s-master03's apiserver. The other nodes kubernetes services connect the keepalived virtual ip address (192.168.20.10) and nginx exposed port (16443) to communicate with the master cluster's apiservers.
kubernetes kubeadm ha high-availability cluster nginx keepalivedkube-spawn is a tool for creating a multi-node Kubernetes (>= 1.8) cluster on a single Linux machine, created mostly for developers of Kubernetes but is also a Certified Kubernetes Distribution and, therefore, perfect for running and testing deployments locally. It attempts to mimic production setups by making use of OS containers to set up nodes.
kubernetes kubeadm systemd-nspawn cluster cni containersShowcasing a bare-metal multi-platform kubeadm setup with persistent storage and monitoring
kubeadm kubernetes workshop monitoring raspberry-pi multi-platform custom-metrics rook persistent-storageImagine... Your own testbed for Kubernetes with cheap Raspberry Pis and friends. This project was published in September 2015 as the first fully working way to easily set up Kubernetes on ARM devices.
kubernetes arm raspberry-pi arm-devices kubeadmThis recipe lets you run Docker within Docker.There is only one requirement: your Docker version should support the --privileged flag.
Play With Docker gives you the experience of having a free Alpine Linux Virtual Machine in the cloud where you can build and run Docker containers and even create clusters with Docker features like Swarm Mode. Under the hood DIND or Docker-in-Docker is used to give the effect of multiple VMs/PCs.
docker playground swarm-mode pwdThis 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 kubernetes-cluster kubernetes-setup deep-learning gpu-computing distributed-systems guide kubernetes-gpu-cluster cluster gpu worker-nodesSonobuoy is a diagnostic tool that makes it easier to understand the state of a Kubernetes cluster by running a set of plugins (including 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. Starting v0.20, Sonobuoy supports Kubernetes v1.17 or later. Sonobuoy releases will be independent of Kubernetes release, while ensuring that new releases continue to work functionally across different versions of Kubernetes. Read more about the new release cycles in our blog.
kubernetes cncf discovery kubernetes-cluster kubernetes-setup bugreport kubernetes-deployment conformance conformance-tests heptio sonobuoy tanzuHeptio 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.
kubernetes kubernetes-cluster kubernetes-setup kubernetes-deployment discovery bugreport heptioThe Gardener implements the automated management and operation of Kubernetes clusters as a service and aims to support that service on multiple Cloud providers (AWS, GCP, Azure, OpenStack). Its main principle is to use Kubernetes itself as base for its tasks. In essence, the Gardener is an extension API server along with a bundle of Kubernetes controllers which introduces new API objects in an existing Kubernetes cluster (which is called Garden cluster) in order to use them for the management of further Kubernetes clusters (which are called Shoot clusters). To do that reliably and to offer a certain quality of service, it requires to control the main components of a Kubernetes cluster (etcd, API server, controller manager, scheduler). These so-called control plane components are hosted in Kubernetes clusters themselves (which are called Seed clusters).
kubernetes gardener aws azure gcp openstack clusterBotKube integration with Slack, Mattermost or Microsoft Teams helps you monitor your Kubernetes cluster, debug critical deployments and gives recommendations for standard practices by running checks on the Kubernetes resources. You can also ask BotKube to execute kubectl commands on k8s cluster which helps debugging an application or cluster.
kubernetes kubernetes-monitoring kubernetes-controller chatops botops chatbot kubebot botkube bot kubernetes-botOpinionated Terraform module for creating a Highly Available Kubernetes cluster running on Container Linux by CoreOS (any channel) in an AWS Virtual Private Cloud VPC. With prerequisites installed make all will simply spin up a default cluster; and, since it is based on Terraform, customization is much easier than CloudFormation.The default configuration includes Kubernetes add-ons: DNS, Dashboard and UI.
coreos aws-vpc aws-terraform coreos-cluster kubernetes docker etcd-cluster kubernetes-coreos-terraform infrastructure-as-code kubernetes-management deploymentThis repository contains the know-how of the Mad Devs team for the rapid deployment of a Kubernetes cluster, supporting services, and the underlying infrastructure in the Amazon cloud. The main development and delivery tool is terraform. In our company’s work, we have tried many infrastructure solutions and services and traveled the path from on-premise hardware to serverless. As of today, Kubernetes has become our standard platform for deploying applications, and AWS has become the main cloud.
kubernetes infrastructure aws boilerplate terraform k8s-cluster hashicorp-terraform terraform-module terraform-files amazon-eks eks-cluster kubernetes-clusters terraform-module-manager serverless-kubernetes-clusterKube-Cluster for macOS is a status bar app which allows in an easy way to bootstrap and control multi-node (master+ two nodes) Kubernetes cluster on three CoreOS VMs. It leverages macOS native Hypervisor virtualisation framework of using corectl command line tool, so there are no needs to use VirtualBox or any other virtualisation software anymore.
kubernetes-cluster kube-cluster kubernetes kubernetes-setupTelepresence substitutes a two-way network proxy for your normal pod running in the Kubernetes cluster. This pod proxies data from your Kubernetes environment (e.g., TCP connections, environment variables, volumes) to the local process. The local process has its networking transparently overridden so that DNS calls and TCP connections are routed through the proxy to the remote Kubernetes cluster.
kubernetes docker proxy tunnel vpn minikubeThis tutorial will walk you through setting up a Kubernetes cluster federation composed of four Kubernetes clusters across multiple GCP regions.This guide is not for people looking for a fully automated command to bring up a Kubernetes cluster federation. If that's you then check out Setting up Cluster Federation with Kubefed.
A tool to use AWS IAM credentials to authenticate to a Kubernetes cluster. The initial work on this tool was driven by Heptio. The project recieves contributions from multiple community engineers and is currently maintained by Heptio and Amazon EKS OSS Engineers. If you are an administrator running a Kubernetes cluster on AWS, you already need to manage AWS IAM credentials to provision and update the cluster. By using AWS IAM Authenticator for Kubernetes, you avoid having to manage a separate credential for Kubernetes access. AWS IAM also provides a number of nice properties such as an out of band audit trail (via CloudTrail) and 2FA/MFA enforcement.
kubernetes iam aws auth k8s-sig-awsSetting 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.
kubernetes vagrant vagrantfile docker kubernetes-cluster virtualbox traefik helm istio cloud-native
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