minikube

minikube implements a local Kubernetes cluster on macOS, Linux, and Windows. minikube's primary goals are to be the best tool for local Kubernetes application development and to support all Kubernetes features that fit.

Features

minikube runs the latest stable release of Kubernetes, with support for standard Kubernetes features like:

• LoadBalancer - using minikube tunnel
• Multi-cluster - using minikube start -p <name>
• NodePorts - using minikube service
• Persistent Volumes
• Ingress
• Dashboard - minikube dashboard
• Container runtimes - minikube start --container-runtime
• Configure apiserver and kubelet options via command-line flags
• Supports common CI environments

As well as developer-friendly features:

• Addons - a marketplace for developers to share configurations for running services on minikube
• NVIDIA GPU support - for machine learning
• Filesystem mounts

For more information, see the official minikube website

Installation

See the Getting Started Guide

📣 Please fill out our fast 5-question survey so that we can learn how & why…

Overview

kube-state-metrics (KSM) is a simple service that listens to the Kubernetes API server and generates metrics about the state of the objects. (See examples in the Metrics section below.) It is not focused on the health of the individual Kubernetes components, but rather on the health of the various objects inside such as deployments, nodes and pods.

kube-state-metrics is about generating metrics from Kubernetes API objects without modification. This ensures that features provided by kube-state-metrics have the same grade of stability as the Kubernetes API objects themselves. In turn, this means that kube-state-metrics in certain situations may not show the exact same values as kubectl, as kubectl applies certain heuristics to display comprehensible messages. kube-state-metrics exposes raw data unmodified from the Kubernetes API, this way users have all the data they require and perform heuristics as they see fit.

The metrics are exported on the HTTP endpoint /metrics on…

Kubernetes Dashboard

Kubernetes Dashboard is a general purpose, web-based UI for Kubernetes clusters. It allows users to manage applications running in the cluster and troubleshoot them, as well as manage the cluster itself.

Getting Started

IMPORTANT: Read the Access Control guide before performing any further steps. The default Dashboard deployment contains a minimal set of RBAC privileges needed to run.

Install

To deploy Dashboard, execute following command:

kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.5.1/aio/deploy/recommended.yaml

Alternatively, you can install Dashboard using Helm as described at https://artifacthub.io/packages/helm/k8s-dashboard/kubernetes-dashboard.

Access

To access Dashboard from your local workstation you must create a secure channel to your Kubernetes cluster. Run the following command:

kubectl proxy

Now access Dashboard at:

http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/.

Create An Authentication Token (RBAC)

To find out how to create sample user and log in follow Creating sample user guide.

NOTE:

• Kubeconfig Authentication method does not support external identity providers or certificate-based authentication.
• Metrics-Server has to…

kOps - Kubernetes Operations

The easiest way to get a production grade Kubernetes cluster up and running.

What is kOps?

We like to think of it as kubectl for clusters.

kops will not only help you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes cluster, but it will also provision the necessary cloud infrastructure.

AWS (Amazon Web Services) is currently officially supported, with DigitalOcean, GCE, and OpenStack in beta support, and Azure and AliCloud in alpha.

Can I see it in action?

Installing and launching a Kubernetes cluster hosted on AWS, GCE, DigitalOcean or OpenStack

See Getting Started

Documentation

Documentation is in the /docs directory, and can be seen at kops.sigs.k8s.io.

Releases and kubernetes Release Compatibility

See Releases and versioning

Getting Involved and Contributing

See Contributing

Office Hours

kOps maintainers set aside one hour every other week for public office hours. This time is used to gather with…

Deploy a Production Ready Kubernetes Cluster

If you have questions, check the documentation at kubespray.io and join us on the kubernetes slack, channel #kubespray You can get your invite here

• Can be deployed on AWS, GCE, Azure, OpenStack, vSphere, Equinix Metal (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal
• Highly available cluster
• Composable (Choice of the network plugin for instance)
• Supports most popular Linux distributions
• Continuous integration tests

Quick Start

To deploy the cluster you can use :

Ansible

Usage

# Install dependencies from ``requirements.txt``
sudo pip3 install -r requirements.txt
# Copy ``inventory/sample`` as ``inventory/mycluster``
cp -rfp inventory/sample inventory/mycluster

# Update Ansible inventory file with inventory builder
declare -a IPS=(10.10.1.3 10.10.1.4 10.10.1.5)
CONFIG_FILE=inventory/mycluster/hosts.yaml python3 contrib/inventory_builder/inventory.py ${IPS[@]}

# Review and change parameters under ``inventory/mycluster/group_vars``
cat inventory/mycluster/group_vars/all/all.yml
cat inventory/mycluster/group_vars/k8s_cluster/k8s-cluster.yml

# 

K9s - Kubernetes CLI To Manage Your Clusters In Style!

K9s provides a terminal UI to interact with your Kubernetes clusters The aim of this project is to make it easier to navigate, observe and manage your applications in the wild. K9s continually watches Kubernetes for changes and offers subsequent commands to interact with your observed resources.

Note...

As you may know k9s is not pimped out by a big corporation with deep pockets. It is a complex OSS project that demands a lot of my time to maintain and support. K9s will always remain OSS and therefore free! That said if you feel, k9s makes your day to day Kubernetes journey a tad brighter, please consider sponsoring us or purchase a K9sAlpha license. Your donations will go a long way in keeping our servers lights on and beers in our fridge!

Thank you!

Documentation

Please refer to our…

Popeye - A Kubernetes Cluster Sanitizer

Popeye is a utility that scans live Kubernetes cluster and reports potential issues with deployed resources and configurations. It sanitizes your cluster based on what's deployed and not what's sitting on disk. By scanning your cluster, it detects misconfigurations and helps you to ensure that best practices are in place, thus preventing future headaches. It aims at reducing the cognitive overload one faces when operating a Kubernetes cluster in the wild. Furthermore, if your cluster employs a metric-server, it reports potential resources over/under allocations and attempts to warn you should your cluster run out of capacity.

Popeye is a readonly tool, it does not alter any of your Kubernetes resources in any way!

Installation

Popeye is available on Linux, OSX and Windows platforms.

• Binaries for Linux, Windows and Mac are available as tarballs in the release page.

• For OSX/Unit using Homebrew/LinuxBrew

  brew install

  …