Synopsis Set a cluster entry in kubeconfig. Specifying a name that already exists will merge new fields on top of existing values for those fields. kubectl config set-cluster NAME [--server=server] [--certificate-authority=path/to/certificate/authority] [--insecure-skip-tls-verify=true] [--tls-server-name=example.com] Examples # Set only the server field on the e2e cluster entry without touching other values kubectl config set-cluster e2e --server=https://1.2.3.4 # Embed certificate authority data for the e2e cluster entry kubectl config set-cluster e2e --embed-certs --certificate-authority=~/.

Synopsis Display resource (CPU/memory) usage of nodes. The top-node command allows you to see the resource consumption of nodes. kubectl top node [NAME | -l label] Examples # Show metrics for all nodes kubectl top node # Show metrics for a given node kubectl top node NODE_NAME Options -h, --help help for node --no-headers If present, print output without headers -l, --selector string Selector (label query) to filter on, supports '=', '==', and '!

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.

This document describes persistent volumes in Kubernetes. Familiarity with volumes, StorageClasses and VolumeAttributesClasses is suggested. Introduction Managing storage is a distinct problem from managing compute instances. The PersistentVolume subsystem provides an API for users and administrators that abstracts details of how storage is provided from how it is consumed. To do this, we introduce two new API resources: PersistentVolume and PersistentVolumeClaim. A PersistentVolume (PV) is a piece of storage in the cluster that has been provisioned by an administrator or dynamically provisioned using Storage Classes.

This document highlights and consolidates configuration best practices that are introduced throughout the user guide, Getting Started documentation, and examples. This is a living document. If you think of something that is not on this list but might be useful to others, please don't hesitate to file an issue or submit a PR. General Configuration Tips When defining configurations, specify the latest stable API version. Configuration files should be stored in version control before being pushed to the cluster.

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.

Legacy API for managing workloads that can scale horizontally. Superseded by the Deployment and ReplicaSet APIs.

A detailed look at the different policy levels defined in the Pod Security Standards.

When you specify a Pod, you can optionally specify how much of each resource a container needs. The most common resources to specify are CPU and memory (RAM); there are others. When you specify the resource request for containers in a Pod, the kube-scheduler uses this information to decide which node to place the Pod on. When you specify a resource limit for a container, the kubelet enforces those limits so that the running container is not allowed to use more of that resource than the limit you set.

With autoscaling, you can automatically update your workloads in one way or another. This allows your cluster to react to changes in resource demand more elastically and efficiently.