You can constrain a Pod so that it is restricted to run on particular node(s), or to prefer to run on particular nodes. There are several ways to do this and the recommended approaches all use label selectors to facilitate the selection. Often, you do not need to set any such constraints; the scheduler will automatically do a reasonable placement (for example, spreading your Pods across nodes so as not place Pods on a node with insufficient free resources).

kubeadm init phase enables you to invoke atomic steps of the bootstrap process. Hence, you can let kubeadm do some of the work and you can fill in the gaps if you wish to apply customization. kubeadm init phase is consistent with the kubeadm init workflow, and behind the scene both use the same code. kubeadm init phase preflight Using this command you can execute preflight checks on a control-plane node.

Glossary This glossary is intended to be a comprehensive, standardized list of Kubernetes terminology. It includes te...

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:

Expose an application running in your cluster behind a single outward-facing endpoint, even when the workload is split across multiple backends.

This page contains list of feature gates that have been removed. The information on this page is for reference. A removed feature gate is different from a GA'ed or deprecated one in that a removed one is no longer recognized as a valid feature gate. However, a GA'ed or a deprecated feature gate is still recognized by the corresponding Kubernetes components although they are unable to cause any behavior differences in a cluster.

Kubernetes reserves all labels and annotations in the kubernetes.io and k8s.io namespaces. This document serves both as a reference to the values and as a coordination point for assigning values. Labels, annotations and taints used on API objects apf.kubernetes.io/autoupdate-spec Type: Annotation Example: apf.kubernetes.io/autoupdate-spec: "true" Used on: FlowSchema and PriorityLevelConfiguration Objects If this annotation is set to true on a FlowSchema or PriorityLevelConfiguration, the spec for that object is managed by the kube-apiserver.

The Kubernetes API is a resource-based (RESTful) programmatic interface provided via HTTP. It supports retrieving, creating, updating, and deleting primary resources via the standard HTTP verbs (POST, PUT, PATCH, DELETE, GET). For some resources, the API includes additional subresources that allow fine grained authorization (such as separate views for Pod details and log retrievals), and can accept and serve those resources in different representations for convenience or efficiency. Kubernetes supports efficient change notifications on resources via watches.

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.

This document describes persistent volumes in Kubernetes. Familiarity with volumes, StorageClasses and VolumeAttributesClasses is suggested. Introduction Managing storage is a distinct problem from managing compute instances. The PersistentVolume subsystem provides an API for users and administrators that abstracts details of how storage is provided from how it is consumed. To do this, we introduce two new API resources: PersistentVolume and PersistentVolumeClaim. A PersistentVolume (PV) is a piece of storage in the cluster that has been provisioned by an administrator or dynamically provisioned using Storage Classes.