FEATURE STATE: Kubernetes v1.32 [stable](enabled by default) The Kubernetes Memory Manager enables the feature of guaranteed memory (and hugepages) allocation for pods in the Guaranteed QoS class. The Memory Manager employs a hint generation protocol to yield the most suitable NUMA affinity for a pod. The Memory Manager feeds the central manager (Topology Manager) with these affinity hints. Based on both the hints and Topology Manager policy, the pod is rejected or admitted to the node.

This page covers advanced Pod configuration topics including PriorityClasses, RuntimeClasses, security context within Pods, and introduces aspects of scheduling. PriorityClasses PriorityClasses allow you to set the importance of Pods relative to other Pods. If you assign a priority class to a Pod, Kubernetes sets the .spec.priority field for that Pod based on the PriorityClass you specified (you cannot set .spec.priority directly). If or when a Pod cannot be scheduled, and the problem is due to a lack of resources, the kube-scheduler tries to preempt lower priority Pods, in order to make scheduling of the higher priority Pod possible.

In order for an [Ingress](/docs/concepts/services-networking/ingress/) to work in your cluster, there must be an _ingress controller_ running. You need to select at least one ingress controller and make sure it is set up in your cluster. This page lists common ingress controllers that you can deploy.

Nodes have local ephemeral storage, backed by locally-attached writeable devices or, sometimes, by RAM. "Ephemeral" means that there is no long-term guarantee about durability. Pods use ephemeral local storage for scratch space, caching, and for logs. The kubelet can provide scratch space to Pods using local ephemeral storage to mount emptyDir volumes into containers. The kubelet also uses this kind of storage to hold node-level container logs, container images, and the writable layers of running containers.

This page covers how to customize the components that kubeadm deploys. For control plane components you can use flags in the ClusterConfiguration structure or patches per-node. For the kubelet and kube-proxy you can use KubeletConfiguration and KubeProxyConfiguration, accordingly. All of these options are possible via the kubeadm configuration API. For more details on each field in the configuration you can navigate to our API reference pages. Note:To reconfigure a cluster that has already been created see Reconfiguring a kubeadm cluster.

This page shows how to configure Pods so that they will be assigned particular Quality of Service (QoS) classes. Kubernetes uses QoS classes to make decisions about evicting Pods when Node resources are exceeded. When Kubernetes creates a Pod it assigns one of these QoS classes to the Pod: Guaranteed Burstable BestEffort Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.

FEATURE STATE: Kubernetes v1.35 [beta](disabled by default) Kubernetes relies on API data being actively re-written, to support some maintenance activities related to at rest storage. Two prominent examples are the versioned schema of stored resources (that is, the preferred storage schema changing from v1 to v2 for a given resource) and encryption at rest (that is, rewriting stale data based on a change in how the data should be encrypted).

This page shows how to write and read a Container termination message. Termination messages provide a way for containers to write information about fatal events to a location where it can be easily retrieved and surfaced by tools like dashboards and monitoring software. In most cases, information that you put in a termination message should also be written to the general Kubernetes logs. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.

FEATURE STATE: Kubernetes v1.34 [beta](enabled by default) This page shows how to specify CPU and memory resources for a Pod at pod-level in addition to container-level resource specifications. A Kubernetes node allocates resources to a pod based on the pod's resource requests. These requests can be defined at the pod level or individually for containers within the pod. When both are present, the pod-level requests take precedence. Similarly, a pod's resource usage is restricted by limits, which can also be set at the pod-level or individually for containers within the pod.

FEATURE STATE: Kubernetes v1.26 [stable] Windows HostProcess containers enable you to run containerized workloads on a Windows host. These containers operate as normal processes but have access to the host network namespace, storage, and devices when given the appropriate user privileges. HostProcess containers can be used to deploy network plugins, storage configurations, device plugins, kube-proxy, and other components to Windows nodes without the need for dedicated proxies or the direct installation of host services.