Jobs represent one-off tasks that run to completion and then stop.

FEATURE STATE: Kubernetes v1.30 [beta] This page explains how user namespaces are used in Kubernetes pods. A user namespace isolates the user running inside the container from the one in the host. A process running as root in a container can run as a different (non-root) user in the host; in other words, the process has full privileges for operations inside the user namespace, but is unprivileged for operations outside the namespace.

Node-pressure eviction is the process by which the kubelet proactively terminates pods to reclaim resource on nodes. The kubelet monitors resources like memory, disk space, and filesystem inodes on your cluster's nodes. When one or more of these resources reach specific consumption levels, the kubelet can proactively fail one or more pods on the node to reclaim resources and prevent starvation. During a node-pressure eviction, the kubelet sets the phase for the selected pods to Failed, and terminates the Pod.

In Kubernetes, scheduling refers to making sure that Pods are matched to Nodes so that Kubelet can run them. Scheduling overview A scheduler watches for newly created Pods that have no Node assigned. For every Pod that the scheduler discovers, the scheduler becomes responsible for finding the best Node for that Pod to run on. The scheduler reaches this placement decision taking into account the scheduling principles described below.

Before you begin You must use a kubectl version that is within one minor version difference of your cluster. For example, a v1.34 client can communicate with v1.33, v1.34, and v1.35 control planes. Using the latest compatible version of kubectl helps avoid unforeseen issues. Install kubectl on Windows The following methods exist for installing kubectl on Windows: Install kubectl binary on Windows (via direct download or curl) Install on Windows using Chocolatey, Scoop, or winget Install kubectl binary on Windows (via direct download or curl) You have two options for installing kubectl on your Windows device

FEATURE STATE: Kubernetes v1.33 [stable] (enabled by default: true) This document shares how to reconfigure the default Service IP range(s) assigned to a cluster. 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.

Synopsis Request a service account token. kubectl create token SERVICE_ACCOUNT_NAME Examples # Request a token to authenticate to the kube-apiserver as the service account "myapp" in the current namespace kubectl create token myapp # Request a token for a service account in a custom namespace kubectl create token myapp --namespace myns # Request a token with a custom expiration kubectl create token myapp --duration 10m # Request a token with a custom audience kubectl create token myapp --audience https://example.

Synopsis Create a namespace with the specified name. kubectl create namespace NAME [--dry-run=server|client|none] Examples # Create a new namespace named my-namespace kubectl create namespace my-namespace Options --allow-missing-template-keys     Default: true If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats. --dry-run string[="unchanged"]     Default: "none" Must be "none", "server", or "client". If client strategy, only print the object that would be sent, without sending it.

Synopsis Specify compute resource requirements (CPU, memory) for any resource that defines a pod template. If a pod is successfully scheduled, it is guaranteed the amount of resource requested, but may burst up to its specified limits. For each compute resource, if a limit is specified and a request is omitted, the request will default to the limit. Possible resources include (case insensitive): Use "kubectl api-resources" for a complete list of supported resources.

Production-Grade Container Orchestration