Kubernetes ships with a default scheduler that is described here. If the default scheduler does not suit your needs you can implement your own scheduler. Moreover, you can even run multiple schedulers simultaneously alongside the default scheduler and instruct Kubernetes what scheduler to use for each of your pods. Let's learn how to run multiple schedulers in Kubernetes with an example. A detailed description of how to implement a scheduler is outside the scope of this document.

This page shows how to install a custom resource into the Kubernetes API by creating a CustomResourceDefinition. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds:

Module code lightgbm.basic Source code for lightgbm.basic # coding: utf-8 """Wrapper for C API of LightGBM.""" # This...

This tutorial demonstrates running Apache Zookeeper on Kubernetes using StatefulSets, PodDisruptionBudgets, and PodAntiAffinity. Before you begin Before starting this tutorial, you should be familiar with the following Kubernetes concepts: Pods Cluster DNS Headless Services PersistentVolumes PersistentVolume Provisioning StatefulSets PodDisruptionBudgets PodAntiAffinity kubectl CLI You must have a cluster with at least four nodes, and each node requires at least 2 CPUs and 4 GiB of memory. In this tutorial you will cordon and drain the cluster's nodes.

Production-Grade Container Orchestration

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FEATURE STATE: Kubernetes v1.10 [stable] kubeadm init and kubeadm join together provide a nice user experience for creating a bare Kubernetes cluster from scratch, that aligns with the best-practices. However, it might not be obvious how kubeadm does that. This document provides additional details on what happens under the hood, with the aim of sharing knowledge on the best practices for a Kubernetes cluster. Core design principles The cluster that kubeadm init and kubeadm join set up should be:

FastAPI framework, high performance, easy to learn, fast to code, ready for production

This page gives writing style guidelines for the Kubernetes documentation. These are guidelines, not rules. Use your best judgment, and feel free to propose changes to this document in a pull request. For additional information on creating new content for the Kubernetes documentation, read the Documentation Content Guide. Changes to the style guide are made by SIG Docs as a group. To propose a change or addition, add it to the agenda for an upcoming SIG Docs meeting, and attend the meeting to participate in the discussion.