- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 331 - 340 of 699 for host:kubernetes.io (0.14 sec)
-
Pod Priority and Preemption | Kubernetes
FEATURE STATE: Kubernetes v1.14 [stable] Pods can have priority. Priority indicates the importance of a Pod relative to other Pods. If a Pod cannot be scheduled, the scheduler tries to preempt (evict) lower priority Pods to make scheduling of the pending Pod possible. Warning:In a cluster where not all users are trusted, a malicious user could create Pods at the highest possible priorities, causing other Pods to be evicted/not get scheduled.kubernetes.io/docs/concepts/scheduling-eviction/pod-priority-preemption/Registered: Mon Sep 08 22:28:25 UTC 2025 - 482.1K bytes - Viewed (0) -
Securing a Cluster | Kubernetes
This document covers topics related to protecting a cluster from accidental or malicious access and provides recommendations on overall security. 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:kubernetes.io/docs/tasks/administer-cluster/securing-a-cluster/Registered: Mon Sep 08 22:45:01 UTC 2025 - 476.1K bytes - Viewed (0) -
Container Runtime Interface (CRI) | Kubernetes
The CRI is a plugin interface which enables the kubelet to use a wide variety of container runtimes, without having a need to recompile the cluster components. You need a working container runtime on each Node in your cluster, so that the kubelet can launch Pods and their containers. The Container Runtime Interface (CRI) is the main protocol for the communication between the kubelet and Container Runtime. The Kubernetes Container Runtime Interface (CRI) defines the main gRPC protocol for the communication between the node components kubelet and container runtime.kubernetes.io/docs/concepts/architecture/cri/Registered: Mon Sep 08 22:10:57 UTC 2025 - 460.7K bytes - Viewed (0) -
Workloads | Kubernetes
Understand Pods, the smallest deployable compute object in Kubernetes, and the higher-level abstractions that help you to run them.kubernetes.io/docs/concepts/workloads/Registered: Mon Sep 08 22:08:32 UTC 2025 - 462.1K bytes - Viewed (0) -
Migrating telemetry and security agents from do...
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' support for direct integration with Docker Engine is deprecated and has been removed. Most apps do not have a direct dependency on runtime hosting containers. However, there are still a lot of telemetry and monitoring agents that have a dependency on Docker to collect containers metadata, logs, and metrics.kubernetes.io/docs/tasks/administer-cluster/migrating-from-dockershim/migrating-telemetry-and-sec...Registered: Mon Sep 08 22:36:32 UTC 2025 - 470.4K bytes - Viewed (0) -
Set Up DRA in a Cluster | Kubernetes
FEATURE STATE: Kubernetes v1.34 [stable] (enabled by default: true) This page shows you how to configure dynamic resource allocation (DRA) in a Kubernetes cluster by enabling API groups and configuring classes of devices. These instructions are for cluster administrators. About DRA A Kubernetes feature that lets you request and share resources among Pods. These resources are often attached devices like hardware accelerators. With DRA, device drivers and cluster admins define device classes that are available to claim in workloads.kubernetes.io/docs/tasks/configure-pod-container/assign-resources/set-up-dra-cluster/Registered: Mon Sep 08 22:34:52 UTC 2025 - 474.1K bytes - Viewed (0) -
Resize CPU and Memory Resources assigned to Con...
FEATURE STATE: Kubernetes v1.33 [beta] (enabled by default: true) This page explains how to change the CPU and memory resource requests and limits assigned to a container without recreating the Pod. Traditionally, changing a Pod's resource requirements necessitated deleting the existing Pod and creating a replacement, often managed by a workload controller. In-place Pod Resize allows changing the CPU/memory allocation of container(s) within a running Pod while potentially avoiding application disruption.kubernetes.io/docs/tasks/configure-pod-container/resize-container-resources/Registered: Mon Sep 08 22:45:18 UTC 2025 - 484.9K bytes - Viewed (0) -
Using a KMS provider for data encryption | Kube...
This page shows how to configure a Key Management Service (KMS) provider and plugin to enable secret data encryption. In Kubernetes 1.34 there are two versions of KMS at-rest encryption. You should use KMS v2 if feasible because KMS v1 is deprecated (since Kubernetes v1.28) and disabled by default (since Kubernetes v1.29). KMS v2 offers significantly better performance characteristics than KMS v1. Caution:This documentation is for the generally available implementation of KMS v2 (and for the deprecated version 1 implementation).kubernetes.io/docs/tasks/administer-cluster/kms-provider/Registered: Mon Sep 08 22:48:00 UTC 2025 - 490.7K bytes - Viewed (0) -
Verify Signed Kubernetes Artifacts | Kubernetes
FEATURE STATE: Kubernetes v1.26 [beta] Before you begin You will need to have the following tools installed: cosign (install guide) curl (often provided by your operating system) jq (download jq) Verifying binary signatures The Kubernetes release process signs all binary artifacts (tarballs, SPDX files, standalone binaries) by using cosign's keyless signing. To verify a particular binary, retrieve it together with its signature and certificate: URL=https://dl.k8s.io/release/v1.34.0/bin/linux/amd64 BINARY=kubectl FILES=( "$BINARY" "$BINARY.sig" "$BINARY.kubernetes.io/docs/tasks/administer-cluster/verify-signed-artifacts/Registered: Mon Sep 08 22:45:33 UTC 2025 - 471.5K bytes - Viewed (0) -
Persistent Volumes | Kubernetes
This document describes persistent volumes in Kubernetes. Familiarity with volumes, StorageClasses and VolumeAttributesClasses is suggested. Introduction Managing storage is a distinct problem from managing compute instances. The PersistentVolume subsystem provides an API for users and administrators that abstracts details of how storage is provided from how it is consumed. To do this, we introduce two new API resources: PersistentVolume and PersistentVolumeClaim. A PersistentVolume (PV) is a piece of storage in the cluster that has been provisioned by an administrator or dynamically provisioned using Storage Classes.kubernetes.io/docs/concepts/storage/persistent-volumes/Registered: Mon Sep 08 22:11:49 UTC 2025 - 565.8K bytes - Viewed (0)