Synopsis View previous rollout revisions and configurations. kubectl rollout history (TYPE NAME | TYPE/NAME) [flags] Examples # View the rollout history of a deployment kubectl rollout history deployment/abc # View the details of daemonset revision 3 kubectl rollout history daemonset/abc --revision=3 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.

SIG Docs approvers take week-long shifts managing pull requests for the repository. This section covers the duties of a PR wrangler. For more information on giving good reviews, see Reviewing changes. Duties Each day in a week-long shift as PR Wrangler: Review open pull requests for quality and adherence to the Style and Content guides. Start with the smallest PRs (size/XS) first, and end with the largest (size/XXL). Review as many PRs as you can.

This page contains an overview of the various feature gates an administrator can specify on different Kubernetes components. See feature stages for an explanation of the stages for a feature. Overview Feature gates are a set of key=value pairs that describe Kubernetes features. You can turn these features on or off using the --feature-gates command line flag on each Kubernetes component. Each Kubernetes component lets you enable or disable a set of feature gates that are relevant to that component.

Production-Grade Container Orchestration

This page shows how to build the Kubernetes component and tool reference pages. Before you begin Start with the Prerequisites section in the Reference Documentation Quickstart guide. Follow the Reference Documentation Quickstart to generate the Kubernetes component and tool reference pages. What's next Generating Reference Documentation Quickstart Generating Reference Documentation for kubectl Commands Generating Reference Documentation for the Kubernetes API Contributing to the Upstream Kubernetes Project for Documentation

Glossary This glossary is intended to be a comprehensive, standardized list of Kubernetes terminology. It includes te...

Resource Types AdmissionReview AdmissionReview AdmissionReview describes an admission review request/response. FieldDescription apiVersionstringadmission.k8s.io/v1 kindstringAdmissionReview request AdmissionRequest Request describes the attributes for the admission request. response AdmissionResponse Response describes the attributes for the admission response. AdmissionRequest Appears in: AdmissionReview AdmissionRequest describes the admission.Attributes for the admission request. FieldDescription uid [Required] k8s.io/apimachinery/pkg/types.UID UID is an identifier for the individual request/response. It allows us to distinguish instances of requests which are otherwise identical (parallel requests, requests when earlier requests did not modify etc) The UID is meant to track the round trip (request/response) between the KAS and the WebHook, not the user request.

Node Conformance Test Node conformance test is a containerized test framework that provides a system verification and functionality test for a node. The test validates whether the node meets the minimum requirements for Kubernetes; a node that passes the test is qualified to join a Kubernetes cluster. Node Prerequisite To run node conformance test, a node must satisfy the same prerequisites as a standard Kubernetes node. At a minimum, the node should have the following daemons installed:

Kubernetes is an open source container orchestration engine for automating deployment, scaling, and management of containerized applications. The open source project is hosted by the Cloud Native Computing Foundation.

You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. This can help to achieve high availability as well as efficient resource utilization. You can set cluster-level constraints as a default, or configure topology spread constraints for individual workloads. Motivation Imagine that you have a cluster of up to twenty nodes, and you want to run a workload that automatically scales how many replicas it uses.