Custom resources are extensions of the Kubernetes API. This page discusses when to add a custom resource to your Kubernetes cluster and when to use a standalone service. It describes the two methods for adding custom resources and how to choose between them. Custom resources A resource is an endpoint in the Kubernetes API that stores a collection of API objects of a certain kind; for example, the built-in pods resource contains a collection of Pod objects.

This page provides a walkthrough for some steps you can follow to run Windows containers using Kubernetes. The page also highlights some Windows specific functionality within Kubernetes. It is important to note that creating and deploying services and workloads on Kubernetes behaves in much the same way for Linux and Windows containers. The kubectl commands to interface with the cluster are identical. The examples in this page are provided to jumpstart your experience with Windows containers.

FEATURE STATE: Kubernetes v1.18 [beta] This page explains how to add Windows worker nodes to a kubeadm cluster. Before you begin A running Windows Server 2022 (or higher) instance with administrative access. A running kubeadm cluster created by kubeadm init and following the steps in the document Creating a cluster with kubeadm. Adding Windows worker nodes Note:To facilitate the addition of Windows worker nodes to a cluster, PowerShell scripts from the repository https://sigs.

FEATURE STATE: Kubernetes v1.18 [beta] This page explains how to upgrade a Windows node created with kubeadm. Before you begin You need to have shell access to all the nodes, 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. Your Kubernetes server must be at or later than version 1.

This page shows how to safely drain a node, optionally respecting the PodDisruptionBudget you have defined. Before you begin This task assumes that you have met the following prerequisites: You do not require your applications to be highly available during the node drain, or You have read about the PodDisruptionBudget concept, and have configured PodDisruptionBudgets for applications that need them. (Optional) Configure a disruption budget To ensure that your workloads remain available during maintenance, you can configure a PodDisruptionBudget.

This page shows how to assign a CPU request and a CPU limit to a container. Containers cannot use more CPU than the configured limit. Provided the system has CPU time free, a container is guaranteed to be allocated as much CPU as it requests. 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.

This page shows how to run an application using a Kubernetes Deployment object. Objectives Create an nginx deployment. Use kubectl to list information about the deployment. Update the deployment. 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.

Production-Grade Container Orchestration

This page shows how to use kubectl exec to get a shell to a running container. 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: