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.

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].

This page shows how to generate the kubectl command reference. Note:This topic shows how to generate reference documentation for kubectl commands like kubectl apply and kubectl taint. This topic does not show how to generate the kubectl options reference page. For instructions on how to generate the kubectl options reference page, see Generating Reference Pages for Kubernetes Components and Tools. Before you begin Requirements: You need a machine that is running Linux or macOS.

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.

This page shows how to use the update-imported-docs.py script to generate the Kubernetes reference documentation. The script automates the build setup and generates the reference documentation for a release. Before you begin Requirements: You need a machine that is running Linux or macOS. You need to have these tools installed: Python v3.7.x+ Git Golang version 1.13+ Pip used to install PyYAML PyYAML v5.1.2 make gcc compiler/linker Docker (Required only for kubectl command reference) Your PATH environment variable must include the required build tools, such as the Go binary and python.

Concepts and resources behind networking in Kubernetes.

A ReplicaSet's purpose is to maintain a stable set of replica Pods running at any given time. Usually, you define a Deployment and let that Deployment manage ReplicaSets automatically.

In Kubernetes, a HorizontalPodAutoscaler automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand. Horizontal scaling means that the response to increased load is to deploy more Pods. This is different from vertical scaling, which for Kubernetes would mean assigning more resources (for example: memory or CPU) to the Pods that are already running for the workload.

In this example, you will run a Kubernetes Job that runs multiple parallel tasks as worker processes, each running as a separate Pod. In this example, as each pod is created, it picks up one unit of work from a task queue, processes it, and repeats until the end of the queue is reached. Here is an overview of the steps in this example: Start a storage service to hold the work queue.

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 applications usually consist of multiple, separate services, each running in its own container. Developing and debugging these services on a remote Kubernetes cluster can be cumbersome, requiring you to get a shell on a running container in order to run debugging tools.