FEATURE STATE: Kubernetes v1.34 [beta](enabled by default) This page shows how to specify CPU and memory resources for a Pod at pod-level in addition to container-level resource specifications. A Kubernetes node allocates resources to a pod based on the pod's resource requests. These requests can be defined at the pod level or individually for containers within the pod. When both are present, the pod-level requests take precedence. Similarly, a pod's resource usage is restricted by limits, which can also be set at the pod-level or individually for containers within the pod.

This page shows how a Pod can use environment variables to expose information about itself to containers running in the Pod, using the downward API. You can use environment variables to expose Pod fields, container fields, or both. In Kubernetes, there are two ways to expose Pod and container fields to a running container: Environment variables, as explained in this task Volume files Together, these two ways of exposing Pod and container fields are called the downward API.

In this example, you will run a Job in Indexed completion mode configured such that the pods created by the Job can communicate with each other using pod hostnames rather than pod IP addresses. Pods within a Job might need to communicate among themselves. The user workload running in each pod could query the Kubernetes API server to learn the IPs of the other Pods, but it's much simpler to rely on Kubernetes' built-in DNS resolution.

Synopsis Display merged kubeconfig settings or a specified kubeconfig file. You can use --output jsonpath={...} to extract specific values using a jsonpath expression. kubectl config view [flags] Examples # Show merged kubeconfig settings kubectl config view # Show merged kubeconfig settings, raw certificate data, and exposed secrets kubectl config view --raw # Get the password for the e2e user kubectl config view -o jsonpath='{.users[?(@.name == "e2e")].user.password}' 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.

Production-Grade Container Orchestration

Synopsis Update the user, group, or service account in a role binding or cluster role binding. kubectl set subject (-f FILENAME | TYPE NAME) [--user=username] [--group=groupname] [--serviceaccount=namespace:serviceaccountname] [--dry-run=server|client|none] Examples # Update a cluster role binding for serviceaccount1 kubectl set subject clusterrolebinding admin --serviceaccount=namespace:serviceaccount1 # Update a role binding for user1, user2, and group1 kubectl set subject rolebinding admin --user=user1 --user=user2 --group=group1 # Print the result (in YAML format) of updating rolebinding subjects from a local, without hitting the server kubectl create rolebinding admin --role=admin --user=admin -o yaml --dry-run=client | kubectl set subject --local -f - --user=foo -o yaml Options --all Select all resources, in the namespace of the specified resource types

Production-Grade Container Orchestration

Synopsis The Kubernetes controller manager is a daemon that embeds the core control loops shipped with Kubernetes. In applications of robotics and automation, a control loop is a non-terminating loop that regulates the state of the system. In Kubernetes, a controller is a control loop that watches the shared state of the cluster through the apiserver and makes changes attempting to move the current state towards the desired state. Examples of controllers that ship with Kubernetes today are the replication controller, endpoints controller, namespace controller, and serviceaccounts controller.

Synopsis Roll back to a previous rollout. kubectl rollout undo (TYPE NAME | TYPE/NAME) [flags] Examples # Roll back to the previous deployment kubectl rollout undo deployment/abc # Roll back to daemonset revision 3 kubectl rollout undo daemonset/abc --to-revision=3 # Roll back to the previous deployment with dry-run kubectl rollout undo --dry-run=server deployment/abc 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.

FEATURE STATE: Kubernetes 1.34 [beta] A Kubernetes kuberc configuration file allows you to define preferences for kubectl, such as default options and command aliases. Unlike the kubeconfig file, a kuberc configuration file does not contain cluster details, usernames or passwords. On Linux / POSIX computers, the default location of this configuration file is $HOME/.kube/kuberc. The default path on Windows is similar: %USERPROFILE%\.kube\kuberc. To provide kubectl with a path to a custom kuberc file, use the --kuberc command line option, or set the KUBERC environment variable.