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

This page shows how to view, work in, and delete namespaces. The page also shows how to use Kubernetes namespaces to subdivide your cluster. Before you begin Have an existing Kubernetes cluster. You have a basic understanding of Kubernetes Pods, Services, and Deployments. Viewing namespaces List the current namespaces in a cluster using: kubectl get namespaces NAME STATUS AGE default Active 11d kube-node-lease Active 11d kube-public Active 11d kube-system Active 11d Kubernetes starts with four initial namespaces:

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.

FEATURE STATE: Kubernetes v1.33 [beta](enabled by default) This page shows how to configure a user namespace for pods. This allows you to isolate 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.

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:

Perform common configuration tasks for Pods and containers.

This page explains how to debug Pods running (or crashing) on a Node. Before you begin Your Pod should already be scheduled and running. If your Pod is not yet running, start with Debugging Pods. For some of the advanced debugging steps you need to know on which Node the Pod is running and have shell access to run commands on that Node. You don't need that access to run the standard debug steps that use kubectl.

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.

Node-level troubleshooting My Pods are stuck at "Container Creating" or restarting over and over Ensure that your pause image is compatible with your Windows OS version. See Pause container to see the latest / recommended pause image and/or get more information. Note:If using containerd as your container runtime the pause image is specified in the plugins.plugins.cri.sandbox_image field of the of config.toml configuration file. My pods show status as ErrImgPull or ImagePullBackOff

Understand how to protect traffic within your cluster using Transport Layer Security (TLS).