Production-Grade Container Orchestration

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. The default location of this configuration file is $HOME/.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.

Synopsis Create a LoadBalancer service with the specified name. kubectl create service loadbalancer NAME [--tcp=port:targetPort] [--dry-run=server|client|none] Examples # Create a new LoadBalancer service named my-lbs kubectl create service loadbalancer my-lbs --tcp=5678:8080 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. --dry-run string[="unchanged"]     Default: "none" Must be "none", "server", or "client". If client strategy, only print the object that would be sent, without sending it.

Production-Grade Container Orchestration

Production-Grade Container Orchestration

Synopsis Restart a resource. Resource rollout will be restarted. kubectl rollout restart RESOURCE Examples # Restart all deployments in the test-namespace namespace kubectl rollout restart deployment -n test-namespace # Restart a deployment kubectl rollout restart deployment/nginx # Restart a daemon set kubectl rollout restart daemonset/abc # Restart deployments with the app=nginx label kubectl rollout restart deployment --selector=app=nginx 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.

Debugging common containerized application issues.

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.

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

This document details the deprecation policy for various facets of the system. Kubernetes is a large system with many components and many contributors. As with any such software, the feature set naturally evolves over time, and sometimes a feature may need to be removed. This could include an API, a flag, or even an entire feature. To avoid breaking existing users, Kubernetes follows a deprecation policy for aspects of the system that are slated to be removed.