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Results 31 - 40 of 686 for host:kubernetes.io (0.11 sec)
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kubectl create namespace | Kubernetes
Synopsis Create a namespace with the specified name. kubectl create namespace NAME [--dry-run=server|client|none] Examples # Create a new namespace named my-namespace kubectl create namespace my-namespace Options --allow-missing-template-keys Default: true If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats. --dry-run string[="unchanged"] Default: "none" Must be "none", "server", or "client". If client strategy, only print the object that would be sent, without sending it.kubernetes.io/docs/reference/kubectl/generated/kubectl_create/kubectl_create_namespace/ Similar Results (1)Registered: Mon May 26 06:24:52 UTC 2025 - 456.6K bytes - Viewed (0) -
kubectl create priorityclass | Kubernetes
Synopsis Create a priority class with the specified name, value, globalDefault and description. kubectl create priorityclass NAME --value=VALUE --global-default=BOOL [--dry-run=server|client|none] Examples # Create a priority class named high-priority kubectl create priorityclass high-priority --value=1000 --description="high priority" # Create a priority class named default-priority that is considered as the global default priority kubectl create priorityclass default-priority --value=1000 --global-default=true --description="default priority" # Create a priority class named high-priority that cannot preempt pods with lower priority kubectl create priorityclass high-priority --value=1000 --description="high priority" --preemption-policy="Never" Options --allow-missing-template-keys Default: true If true, ignore any errors in templates when a field or map key is missing in the template.kubernetes.io/docs/reference/kubectl/generated/kubectl_create/kubectl_create_priorityclass/Registered: Mon May 26 06:25:43 UTC 2025 - 459.3K bytes - Viewed (0) -
kubectl patch | Kubernetes
Production-Grade Container Orchestrationkubernetes.io/docs/reference/kubectl/generated/kubectl_patch/Registered: Mon May 26 06:26:12 UTC 2025 - 457.7K bytes - Viewed (0) -
kubectl plugin | Kubernetes
Production-Grade Container Orchestrationkubernetes.io/docs/reference/kubectl/generated/kubectl_plugin/Registered: Mon May 26 06:26:41 UTC 2025 - 453.5K bytes - Viewed (0) -
Image Policy API (v1alpha1) | Kubernetes
Resource Types ImageReview ImageReview ImageReview checks if the set of images in a pod are allowed. FieldDescription apiVersionstringimagepolicy.k8s.io/v1alpha1 kindstringImageReview metadata meta/v1.ObjectMeta Standard object's metadata. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata Refer to the Kubernetes API documentation for the fields of the metadata field. spec [Required] ImageReviewSpec Spec holds information about the pod being evaluated status ImageReviewStatus Status is filled in by the backend and indicates whether the pod should be allowed. ImageReviewContainerSpec Appears in:kubernetes.io/docs/reference/config-api/imagepolicy.v1alpha1/Registered: Mon May 26 06:27:57 UTC 2025 - 449.9K bytes - Viewed (0) -
kube-apiserver Configuration (v1alpha1) | Kuber...
Package v1alpha1 is the v1alpha1 version of the API. Resource Types AdmissionConfiguration AuthenticationConfiguration AuthorizationConfiguration EgressSelectorConfiguration TracingConfiguration TracingConfiguration Appears in: KubeletConfiguration TracingConfiguration TracingConfiguration provides versioned configuration for OpenTelemetry tracing clients. FieldDescription endpoint string Endpoint of the collector this component will report traces to. The connection is insecure, and does not currently support TLS. Recommended is unset, and endpoint is the otlp grpc default, localhost:4317. samplingRatePerMillion int32 SamplingRatePerMillion is the number of samples to collect per million spans.kubernetes.io/docs/reference/config-api/apiserver-config.v1alpha1/ Similar Results (1)Registered: Mon May 26 06:28:03 UTC 2025 - 487.4K bytes - Viewed (0) -
Submitting case studies | Kubernetes
Case studies highlight how organizations are using Kubernetes to solve real-world problems. The Kubernetes marketing team and members of the CNCF collaborate with you on all case studies. Case studies require extensive review before they're approved. Submit a case study Have a look at the source for the existing case studies. Refer to the case study guidelines and submit your request as outlined in the guidelines.kubernetes.io/docs/contribute/new-content/case-studies/Registered: Mon May 26 06:27:22 UTC 2025 - 445.9K bytes - Viewed (0) -
Configure GMSA for Windows Pods and containers ...
FEATURE STATE: Kubernetes v1.18 [stable] This page shows how to configure Group Managed Service Accounts (GMSA) for Pods and containers that will run on Windows nodes. Group Managed Service Accounts are a specific type of Active Directory account that provides automatic password management, simplified service principal name (SPN) management, and the ability to delegate the management to other administrators across multiple servers. In Kubernetes, GMSA credential specs are configured at a Kubernetes cluster-wide scope as Custom Resources.kubernetes.io/docs/tasks/configure-pod-container/configure-gmsa/Registered: Mon May 26 05:52:46 UTC 2025 - 481.8K bytes - Viewed (0) -
Debug Pods | Kubernetes
This guide is to help users debug applications that are deployed into Kubernetes and not behaving correctly. This is not a guide for people who want to debug their cluster. For that you should check out this guide. Diagnosing the problem The first step in troubleshooting is triage. What is the problem? Is it your Pods, your Replication Controller or your Service? Debugging Pods Debugging Replication Controllers Debugging Services Debugging Pods The first step in debugging a Pod is taking a look at it.kubernetes.io/docs/tasks/debug/debug-application/debug-pods/Registered: Mon May 26 05:53:51 UTC 2025 - 457.7K bytes - Viewed (0) -
Dynamic Resource Allocation | Kubernetes
FEATURE STATE: Kubernetes v1.32 [beta] (enabled by default: false) Dynamic resource allocation is an API for requesting and sharing resources between pods and containers inside a pod. It is a generalization of the persistent volumes API for generic resources. Typically those resources are devices like GPUs. Third-party resource drivers are responsible for tracking and preparing resources, with allocation of resources handled by Kubernetes via structured parameters (introduced in Kubernetes 1.kubernetes.io/docs/concepts/scheduling-eviction/dynamic-resource-allocation/Registered: Mon May 26 05:43:19 UTC 2025 - 495K bytes - Viewed (0)