This document helps you get started using the Kubernetes NetworkPolicy API to declare network policies that govern how pods communicate with each other. 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. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.

Seccomp stands for secure computing mode and has been a feature of the Linux kernel since version 2.6.12. It can be used to sandbox the privileges of a process, restricting the calls it is able to make from userspace into the kernel. Kubernetes lets you automatically apply seccomp profiles loaded onto a node to your Pods and containers. Seccomp fields FEATURE STATE: Kubernetes v1.19 [stable] There are four ways to specify a seccomp profile for a pod:

FEATURE STATE: Kubernetes v1.30 [stable] This page provides an overview of Validating Admission Policy. What is Validating Admission Policy? Validating admission policies offer a declarative, in-process alternative to validating admission webhooks. Validating admission policies use the Common Expression Language (CEL) to declare the validation rules of a policy. Validation admission policies are highly configurable, enabling policy authors to define policies that can be parameterized and scoped to resources as needed by cluster administrators.

Bootstrap tokens are used for establishing bidirectional trust between a node joining the cluster and a control-plane node, as described in authenticating with bootstrap tokens. kubeadm init creates an initial token with a 24-hour TTL. The following commands allow you to manage such a token and also to create and manage new ones. kubeadm token create Create bootstrap tokens on the server Synopsis This command will create a bootstrap token for you.

Overview Package v1beta3 defines the v1beta3 version of the kubeadm configuration file format. This version improves on the v1beta2 format by fixing some minor issues and adding a few new fields. A list of changes since v1beta2: The deprecated "ClusterConfiguration.useHyperKubeImage" field has been removed. Kubeadm no longer supports the hyperkube image. The "ClusterConfiguration.dns.type" field has been removed since CoreDNS is the only supported DNS server type by kubeadm. Include "datapolicy" tags on the fields that hold secrets.

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 argument for kubectl subcommands such as get, patch, edit, apply and replace to fetch and update subresources for all resources that support them.

Production-Grade Container Orchestration

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].

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.

Production-Grade Container Orchestration