Synopsis Create a ClusterIP service with the specified name. kubectl create service clusterip NAME [--tcp=<port>:<targetPort>] [--dry-run=server|client|none] Examples # Create a new ClusterIP service named my-cs kubectl create service clusterip my-cs --tcp=5678:8080 # Create a new ClusterIP service named my-cs (in headless mode) kubectl create service clusterip my-cs --clusterip="None" 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.

Overview Package v1beta3 defines the v1beta3 version of the kubeadm configuration file format. This version improves on the v1beta2 format by fixing some minor issues and adding a few new fields. A list of changes since v1beta2: The deprecated "ClusterConfiguration.useHyperKubeImage" field has been removed. Kubeadm no longer supports the hyperkube image. The "ClusterConfiguration.dns.type" field has been removed since CoreDNS is the only supported DNS server type by kubeadm. Include "datapolicy" tags on the fields that hold secrets.

This page shows how to generate the kubectl command reference. Note:This topic shows how to generate reference documentation for kubectl commands like kubectl apply and kubectl taint. This topic does not show how to generate the kubectl options reference page. For instructions on how to generate the kubectl options reference page, see Generating Reference Pages for Kubernetes Components and Tools. Before you begin Requirements: You need a machine that is running Linux or macOS.

This website is maintained by Kubernetes SIG Docs. The Kubernetes project welcomes help from all contributors, new or experienced! Kubernetes documentation contributors: Improve existing content Create new content Translate the documentation Manage and publish the documentation parts of the Kubernetes release cycle The blog team, part of SIG Docs, helps manage the official blogs. Read contributing to Kubernetes blogs to learn more. Note:To learn more about contributing to Kubernetes in general, see the general contributor documentation site.

A HorizontalPodAutoscaler (HPA for short) automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand. Horizontal scaling means that the response to increased load is to deploy more Pods. This is different from vertical scaling, which for Kubernetes would mean assigning more resources (for example: memory or CPU) to the Pods that are already running for the workload.

Creating Secret objects using kubectl command line.

This page describes the process of migrating from PodSecurityPolicies to the built-in PodSecurity admission controller. This can be done effectively using a combination of dry-run and audit and warn modes, although this becomes harder if mutating PSPs are used. Before you begin Your Kubernetes server must be at or later than version v1.22. To check the version, enter kubectl version. If you are currently running a version of Kubernetes other than 1.

In this example, you will run a Kubernetes Job that runs multiple parallel tasks as worker processes, each running as a separate Pod. In this example, as each pod is created, it picks up one unit of work from a task queue, processes it, and repeats until the end of the queue is reached. Here is an overview of the steps in this example: Start a storage service to hold the work queue.

This page provides a step-by-step example of updating configuration within a Pod via a ConfigMap and builds upon the Configure a Pod to Use a ConfigMap task. At the end of this tutorial, you will understand how to change the configuration for a running application. This tutorial uses the alpine and nginx images as examples. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.

Setting up an extension API server to work with the aggregation layer allows the Kubernetes apiserver to be extended with additional APIs, which are not part of the core Kubernetes APIs. 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.