SIG Docs is one of the special interest groups within the Kubernetes project, focused on writing, updating, and maintaining the documentation for Kubernetes as a whole. See SIG Docs from the community github repo for more information about the SIG. SIG Docs welcomes content and reviews from all contributors. Anyone can open a pull request (PR), and anyone is welcome to file issues about content or comment on pull requests in progress.

Synopsis Specify compute resource requirements (CPU, memory) for any resource that defines a pod template. If a pod is successfully scheduled, it is guaranteed the amount of resource requested, but may burst up to its specified limits. For each compute resource, if a limit is specified and a request is omitted, the request will default to the limit. Possible resources include (case insensitive): Use "kubectl api-resources" for a complete list of supported resources.

Synopsis Create a priority class with the specified name, value, globalDefault and description. kubectl create priorityclass NAME --value=VALUE --global-default=BOOL [--dry-run=server|client|none] Examples # Create a priority class named high-priority kubectl create priorityclass high-priority --value=1000 --description="high priority" # Create a priority class named default-priority that is considered as the global default priority kubectl create priorityclass default-priority --value=1000 --global-default=true --description="default priority" # Create a priority class named high-priority that cannot preempt pods with lower priority kubectl create priorityclass high-priority --value=1000 --description="high priority" --preemption-policy="Never" 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.

Synopsis Display one or many contexts from the kubeconfig file. kubectl config get-contexts [(-o|--output=)name)] Examples # List all the contexts in your kubeconfig file kubectl config get-contexts # Describe one context in your kubeconfig file kubectl config get-contexts my-context Options -h, --help help for get-contexts --no-headers When using the default or custom-column output format, don't print headers (default print headers). -o, --output string Output format. One of: (name). --as string Username to impersonate for the operation.

Note:This page is being directed to https://v1-24.docs.kubernetes.io/docs/reference/tools/map-crictl-dockercli/ because of the removal of dockershim from crictl in v1.24. As per our community policy, deprecated documents are not maintained beyond next three versions. The reason for deprecation is explained in Dockershim-FAQ.

Kubernetes provides several built-in APIs for declarative management of your workloads and the components of those workloads. Ultimately, your applications run as containers inside Pods; however, managing individual Pods would be a lot of effort. For example, if a Pod fails, you probably want to run a new Pod to replace it. Kubernetes can do that for you. You use the Kubernetes API to create a workload object that represents a higher abstraction level than a Pod, and then the Kubernetes control plane automatically manages Pod objects on your behalf, based on the specification for the workload object you defined.

This page explains two different approaches to setting up a highly available Kubernetes cluster using kubeadm: With stacked control plane nodes. This approach requires less infrastructure. The etcd members and control plane nodes are co-located. With an external etcd cluster. This approach requires more infrastructure. The control plane nodes and etcd members are separated. Before proceeding, you should carefully consider which approach best meets the needs of your applications and environment.

In order for an [Ingress](/docs/concepts/services-networking/ingress/) to work in your cluster, there must be an _ingress controller_ running. You need to select at least one ingress controller and make sure it is set up in your cluster. This page lists common ingress controllers that you can deploy.

Define a range of valid CPU resource limits for a namespace, so that every new Pod in that namespace falls within the range you configure.

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.