Production-Grade Container Orchestration

Resource Types Configuration Configuration Configuration provides configuration for the EventRateLimit admission controller. FieldDescription apiVersionstringeventratelimit.admission.k8s.io/v1alpha1 kindstringConfiguration limits [Required] []Limit limits are the limits to place on event queries received. Limits can be placed on events received server-wide, per namespace, per user, and per source+object. At least one limit is required. Limit Appears in: Configuration Limit is the configuration for a particular limit type FieldDescription type [Required] LimitType type is the type of limit to which this configuration applies

Note: This section links to third party projects that provide functionality required by Kubernetes. The Kubernetes project authors aren't responsible for these projects, which are listed alphabetically. To add a project to this list, read the content guide before submitting a change. More information. Kubernetes applications usually consist of multiple, separate services, each running in its own container. Developing and debugging these services on a remote Kubernetes cluster can be cumbersome, requiring you to get a shell on a running container in order to run debugging tools.

FEATURE STATE: Kubernetes v1.35 [stable] This page shows how to assign extended resources to a 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:

An issue that comes up rather frequently for new installations of Kubernetes is that a Service is not working properly. You've run your Pods through a Deployment (or other workload controller) and created a Service, but you get no response when you try to access it. This document will hopefully help you to figure out what's going wrong. Running commands in a Pod For many steps here you will want to see what a Pod running in the cluster sees.

This page shows how to investigate problems related to the execution of Init Containers. The example command lines below refer to the Pod as <pod-name> and the Init Containers as <init-container-1> and <init-container-2>. 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.

FEATURE STATE: Kubernetes v1.21 [stable] This document describes how to configure and use kernel parameters within a Kubernetes cluster using the sysctl interface. Note:Starting from Kubernetes version 1.23, the kubelet supports the use of either / or . as separators for sysctl names. Starting from Kubernetes version 1.25, setting Sysctls for a Pod supports setting sysctls with slashes. For example, you can represent the same sysctl name as kernel.shm_rmid_forced using a period as the separator, or as kernel/shm_rmid_forced using a slash as a separator.

Kubernetes provides a built-in admission controller to enforce the Pod Security Standards. You can configure this admission controller to set cluster-wide defaults and exemptions. Before you begin Following an alpha release in Kubernetes v1.22, Pod Security Admission became available by default in Kubernetes v1.23, as a beta. From version 1.25 onwards, Pod Security Admission is generally available. To check the version, enter kubectl version. If you are not running Kubernetes 1.

This task shows you how to delete a StatefulSet. Before you begin This task assumes you have an application running on your cluster represented by a StatefulSet. Deleting a StatefulSet You can delete a StatefulSet in the same way you delete other resources in Kubernetes: use the kubectl delete command, and specify the StatefulSet either by file or by name. kubectl delete -f <file.yaml> kubectl delete statefulsets <statefulset-name> You may need to delete the associated headless service separately after the StatefulSet itself is deleted.

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.