If you have questions, join us on the kubernetes slack, channel #kubespray.Note: Upstart/SysV init based OS types are not supported.
kubernetes-cluster ansible kubernetes high-availability bare-metal gce aws kubespray kubernetes-management deploymentKubernetes 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.
kubernetes minikube meetup resource kubernetes-sources google-cloud kubernetes-cluster deploy-kubernetes aws coreos enterprise-kubernetes-products monitoring-kubernetes azure scheduleprobably 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.
kubernetes-cluster ansible kubernetes high-availability bare-metal gce aws kubespray k8s-sig-cluster-lifecycleWayne 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.
docker kubernetes kubernetes-cluster wayneHeptio 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 heptioMatch 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.
elasticsearch kubernetes-cluster image-signaturesNote: 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.
high-availability kubernetes-cluster aws cloudformation infrastructure-as-codeInstallation Overview -- Instructions on using KET to install a Kubernetes cluster.Upgrading Your Cluster -- Instructions on using KET to upgrade your Kubernetes cluster.
kubernetes ket kubernetes-cluster installing-kubernetes containers kubernetes-management deploymentThe 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.
kubernetes-cluster deployment-pipeline tutorial container-buildereksctl 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.
kubernetes amazon-web-services kubernetes-cluster kubernetes-deployment kubernetes-setup aws-eks aws-ec2 aws-cloudformation tContainerum 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.
platform kubernetes kubernetes-ui kubernetes-cluster containers centos centos-dockerThis 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-nodesSetting 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-nativeThis 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.
jupyterhub jupyter-notebook jupyter kubernetes kubernetes-cluster kubespawner jupyterhub-deploymentksync 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.
kubernetes-cluster cluster rsync docker docker-containerk3sup 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.
kubernetes kubernetes-cluster raspberry-pi cloud vm automation k3s k8s edge devops devtools cloud-nativeThis 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.
kubernetes kubernetes-cluster k8s devops cka ckad serverless faas cloud bare-metal raspberry-piThe 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.
jupyterhub spawner kubernetes-cluster jupyter jupyterhub-kubernetes-spawnerkubectl 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.
kubectl kubernetes-cluster kubectl-trace bpf bpftrace kubectl-plugins kubectl-plugin trace ebpf ebpf-programs tracepointsK-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.
kubernetes observability k8s kubernetes-cluster discover graphical enterprise
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