Resource Types Preference Preference Preference stores elements of KubeRC configuration file FieldDescription apiVersionstringkubectl.config.k8s.io/v1alpha1 kindstringPreference overrides [Required] []CommandDefaults overrides allows changing default flag values of commands. This is especially useful, when user doesn't want to explicitly set flags each time. aliases [Required] []AliasOverride aliases allow defining command aliases for existing kubectl commands, with optional default flag values. If the alias name collides with a built-in command, built-in command always takes precedence. Flag overrides defined in the overrides section do NOT apply to aliases for the same command.

This page shows how to contribute to the upstream kubernetes/kubernetes project. You can fix bugs found in the Kubernetes API documentation or the content of the Kubernetes components such as kubeadm, kube-apiserver, and kube-controller-manager. If you instead want to regenerate the reference documentation for the Kubernetes API or the kube-* components from the upstream code, see the following instructions: Generating Reference Documentation for the Kubernetes API Generating Reference Documentation for the Kubernetes Components and Tools Before you begin You need to have these tools installed:

This site uses Hugo. In Hugo, content organization is a core concept. Note:Hugo Tip: Start Hugo with hugo server --navigateToChanged for content edit-sessions. Page Lists Page Order The documentation side menu, the documentation page browser etc. are listed using Hugo's default sort order, which sorts by weight (from 1), date (newest first), and finally by the link title. Given that, if you want to move a page or a section up, set a weight in the page's front matter:

Production-Grade Container Orchestration

Windows applications constitute a large portion of the services and applications that run in many organizations. Windows containers provide a way to encapsulate processes and package dependencies, making it easier to use DevOps practices and follow cloud native patterns for Windows applications. Organizations with investments in Windows-based applications and Linux-based applications don't have to look for separate orchestrators to manage their workloads, leading to increased operational efficiencies across their deployments, regardless of operating system.

You can constrain a Pod so that it is restricted to run on particular node(s), or to prefer to run on particular nodes. There are several ways to do this and the recommended approaches all use label selectors to facilitate the selection. Often, you do not need to set any such constraints; the scheduler will automatically do a reasonable placement (for example, spreading your Pods across nodes so as not place Pods on a node with insufficient free resources).

Operators are software extensions to Kubernetes that make use of custom resources to manage applications and their components. Operators follow Kubernetes principles, notably the control loop. Motivation The operator pattern aims to capture the key aim of a human operator who is managing a service or set of services. Human operators who look after specific applications and services have deep knowledge of how the system ought to behave, how to deploy it, and how to react if there are problems.

As with any program, you might run into an error installing or running kubeadm. This page lists some common failure scenarios and have provided steps that can help you understand and fix the problem. If your problem is not listed below, please follow the following steps: If you think your problem is a bug with kubeadm: Go to github.com/kubernetes/kubeadm and search for existing issues. If no issue exists, please open one and follow the issue template.

The kubectl command-line tool supports several different ways to create and manage Kubernetes objects. This document provides an overview of the different approaches. Read the Kubectl book for details of managing objects by Kubectl. Management techniques Warning:A Kubernetes object should be managed using only one technique. Mixing and matching techniques for the same object results in undefined behavior. Management technique Operates on Recommended environment Supported writers Learning curve Imperative commands Live objects Development projects 1+ Lowest Imperative object configuration Individual files Production projects 1 Moderate Declarative object configuration Directories of files Production projects 1+ Highest Imperative commands When using imperative commands, a user operates directly on live objects in a cluster.

If two Pods in your cluster want to communicate, and both Pods are actually running on the same node, use _Service Internal Traffic Policy_ to keep network traffic within that node. Avoiding a round trip via the cluster network can help with reliability, performance (network latency and throughput), or cost.