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Getting started | Kubernetes
Production-Grade Container Orchestrationkubernetes.io/docs/setup/Registered: Mon Jan 26 06:30:58 UTC 2026 - 471.5K bytes - Viewed (0) -
Installing kubeadm | Kubernetes
This page shows how to install the kubeadm toolbox. For information on how to create a cluster with kubeadm once you have performed this installation process, see the Creating a cluster with kubeadm page. This installation guide is for Kubernetes v1.35. If you want to use a different Kubernetes version, please refer to the following pages instead: Installing kubeadm (Kubernetes v1.34) Installing kubeadm (Kubernetes v1.33) Installing kubeadm (Kubernetes v1.32) Installing kubeadm (Kubernetes v1.kubernetes.io/docs/setup/production-environment/tools/kubeadm/install-kubeadm/Registered: Mon Jan 26 06:31:16 UTC 2026 - 503.9K bytes - Viewed (0) -
Storage | Kubernetes
Ways to provide both long-term and temporary storage to Pods in your cluster.kubernetes.io/docs/concepts/storage/Registered: Mon Jan 26 06:37:56 UTC 2026 - 468.4K bytes - Viewed (0) -
Process ID Limits And Reservations | Kubernetes
FEATURE STATE: Kubernetes v1.20 [stable] Kubernetes allow you to limit the number of process IDs (PIDs) that a Pod can use. You can also reserve a number of allocatable PIDs for each node for use by the operating system and daemons (rather than by Pods). Process IDs (PIDs) are a fundamental resource on nodes. It is trivial to hit the task limit without hitting any other resource limits, which can then cause instability to a host machine.kubernetes.io/docs/concepts/policy/pid-limiting/Registered: Mon Jan 26 06:38:26 UTC 2026 - 474.2K bytes - Viewed (0) -
Pod Overhead | Kubernetes
FEATURE STATE: Kubernetes v1.24 [stable] When you run a Pod on a Node, the Pod itself takes an amount of system resources. These resources are additional to the resources needed to run the container(s) inside the Pod. In Kubernetes, Pod Overhead is a way to account for the resources consumed by the Pod infrastructure on top of the container requests & limits. In Kubernetes, the Pod's overhead is set at admission time according to the overhead associated with the Pod's RuntimeClass.kubernetes.io/docs/concepts/scheduling-eviction/pod-overhead/Registered: Mon Jan 26 06:38:37 UTC 2026 - 484.1K bytes - Viewed (0) -
Coordinated Leader Election | Kubernetes
FEATURE STATE: Kubernetes v1.33 [beta](disabled by default) Kubernetes 1.35 includes a beta feature that allows control plane components to deterministically select a leader via coordinated leader election. This is useful to satisfy Kubernetes version skew constraints during cluster upgrades. Currently, the only builtin selection strategy is OldestEmulationVersion, preferring the leader with the lowest emulation version, followed by binary version, followed by creation timestamp. Enabling coordinated leader election Ensure that CoordinatedLeaderElection feature gate is enabled when you start the API Server: and that the coordination.kubernetes.io/docs/concepts/cluster-administration/coordinated-leader-election/Registered: Mon Jan 26 06:46:15 UTC 2026 - 471.1K bytes - Viewed (0) -
Reconfiguring a kubeadm cluster | Kubernetes
kubeadm does not support automated ways of reconfiguring components that were deployed on managed nodes. One way of automating this would be by using a custom operator. To modify the components configuration you must manually edit associated cluster objects and files on disk. This guide shows the correct sequence of steps that need to be performed to achieve kubeadm cluster reconfiguration. Before you begin You need a cluster that was deployed using kubeadm Have administrator credentials (/etc/kubernetes/admin.kubernetes.io/docs/tasks/administer-cluster/kubeadm/kubeadm-reconfigure/Registered: Mon Jan 26 06:46:40 UTC 2026 - 483.2K bytes - Viewed (0) -
Vertical Pod Autoscaling | Kubernetes
In Kubernetes, a VerticalPodAutoscaler automatically updates a workload management resource (such as a Deployment or StatefulSet), with the aim of automatically adjusting infrastructure resource requests and limits to match actual usage. Vertical scaling means that the response to increased resource demand is to assign more resources (for example: memory or CPU) to the Pods that are already running for the workload. This is also known as rightsizing, or sometimes autopilot.kubernetes.io/docs/concepts/workloads/autoscaling/vertical-pod-autoscale/Registered: Mon Jan 26 06:33:22 UTC 2026 - 491.1K bytes - Viewed (0) -
ConfigMaps | Kubernetes
A ConfigMap is an API object used to store non-confidential data in key-value pairs. Pods can consume ConfigMaps as environment variables, command-line arguments, or as configuration files in a volume. A ConfigMap allows you to decouple environment-specific configuration from your container images, so that your applications are easily portable. Caution:ConfigMap does not provide secrecy or encryption. If the data you want to store are confidential, use a Secret rather than a ConfigMap, or use additional (third party) tools to keep your data private.kubernetes.io/docs/concepts/configuration/configmap/Registered: Mon Jan 26 06:36:14 UTC 2026 - 509.7K bytes - Viewed (0) -
Volume Health Monitoring | Kubernetes
FEATURE STATE: Kubernetes v1.21 [alpha] CSI volume health monitoring allows CSI Drivers to detect abnormal volume conditions from the underlying storage systems and report them as events on PVCs or Pods. Volume health monitoring Kubernetes volume health monitoring is part of how Kubernetes implements the Container Storage Interface (CSI). Volume health monitoring feature is implemented in two components: an External Health Monitor controller, and the kubelet. If a CSI Driver supports Volume Health Monitoring feature from the controller side, an event will be reported on the related PersistentVolumeClaim (PVC) when an abnormal volume condition is detected on a CSI volume.kubernetes.io/docs/concepts/storage/volume-health-monitoring/Registered: Mon Jan 26 06:37:30 UTC 2026 - 472.6K bytes - Viewed (0)