Recommended usage conventions for kubectl. Using kubectl in Reusable Scripts For a stable output in a script: Request one of the machine-oriented output forms, such as -o name, -o json, -o yaml, -o go-template, or -o jsonpath. Fully-qualify the version. For example, jobs.v1.batch/myjob. This will ensure that kubectl does not use its default version that can change over time. Don't rely on context, preferences, or other implicit states. Subresources You can use the --subresource beta flag for kubectl commands like get, patch, edit and replace to fetch and update subresources for all resources that support them.

Package v1beta1 is the v1beta1 version of the metrics API. Resource Types NodeMetrics NodeMetricsList PodMetrics PodMetricsList NodeMetrics Appears in: NodeMetricsList NodeMetrics sets resource usage metrics of a node. FieldDescription apiVersionstringmetrics.k8s.io/v1beta1 kindstringNodeMetrics 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. timestamp [Required] meta/v1.Time The following fields define time interval from which metrics were collected from the interval [Timestamp-Window, Timestamp].

Production-Grade Container Orchestration

Each major Kubernetes release introduces new features that require documentation. New releases also bring updates to existing features and documentation (such as upgrading a feature from alpha to beta). Generally, the SIG responsible for a feature submits draft documentation of the feature as a pull request to the appropriate development branch of the kubernetes/website repository, and someone on the SIG Docs team provides editorial feedback or edits the draft directly.

FEATURE STATE: Kubernetes v1.29 [stable] Controlling the behavior of the Kubernetes API server in an overload situation is a key task for cluster administrators. The kube-apiserver has some controls available (i.e. the --max-requests-inflight and --max-mutating-requests-inflight command-line flags) to limit the amount of outstanding work that will be accepted, preventing a flood of inbound requests from overloading and potentially crashing the API server, but these flags are not enough to ensure that the most important requests get through in a period of high traffic.

Device plugins let you configure your cluster with support for devices or resources that require vendor-specific setup, such as GPUs, NICs, FPGAs, or non-volatile main memory.

Automatically provision and consolidate the Nodes in your cluster to adapt to demand and optimize cost.

Production-Grade Container Orchestration

This page shows how to configure and enable the ip-masq-agent. 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:

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.