Synopsis Create a role binding for a particular role or cluster role. kubectl create rolebinding NAME --clusterrole=NAME|--role=NAME [--user=username] [--group=groupname] [--serviceaccount=namespace:serviceaccountname] [--dry-run=server|client|none] Examples # Create a role binding for user1, user2, and group1 using the admin cluster role kubectl create rolebinding admin --clusterrole=admin --user=user1 --user=user2 --group=group1 # Create a role binding for service account monitoring:sa-dev using the admin role kubectl create rolebinding admin-binding --role=admin --serviceaccount=monitoring:sa-dev 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 Create a deployment with the specified name. kubectl create deployment NAME --image=image -- [COMMAND] [args...] Examples # Create a deployment named my-dep that runs the busybox image kubectl create deployment my-dep --image=busybox # Create a deployment with a command kubectl create deployment my-dep --image=busybox -- date # Create a deployment named my-dep that runs the nginx image with 3 replicas kubectl create deployment my-dep --image=nginx --replicas=3 # Create a deployment named my-dep that runs the busybox image and expose port 5701 kubectl create deployment my-dep --image=busybox --port=5701 # Create a deployment named my-dep that runs multiple containers kubectl create deployment my-dep --image=busybox:latest --image=ubuntu:latest --image=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.

FEATURE STATE: Kubernetes v1.26 [stable] Starting from Kubernetes v1.20, the kubelet can dynamically retrieve credentials for a container image registry using exec plugins. The kubelet and the exec plugin communicate through stdio (stdin, stdout, and stderr) using Kubernetes versioned APIs. These plugins allow the kubelet to request credentials for a container registry dynamically as opposed to storing static credentials on disk. For example, the plugin may talk to a local metadata server to retrieve short-lived credentials for an image that is being pulled by the kubelet.

This page shows a couple of quick ways to create a Calico cluster on Kubernetes. Before you begin Decide whether you want to deploy a cloud or local cluster. Creating a Calico cluster with Google Kubernetes Engine (GKE) Prerequisite: gcloud. To launch a GKE cluster with Calico, include the --enable-network-policy flag. Syntax gcloud container clusters create [CLUSTER_NAME] --enable-network-policy Example gcloud container clusters create my-calico-cluster --enable-network-policy To verify the deployment, use the following command.

This page shows how to configure Pods so that they will be assigned particular Quality of Service (QoS) classes. Kubernetes uses QoS classes to make decisions about evicting Pods when Node resources are exceeded. When Kubernetes creates a Pod it assigns one of these QoS classes to the Pod: Guaranteed Burstable BestEffort Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.

Production-Grade Container Orchestration

FEATURE STATE: Kubernetes v1.11 [beta] Since cloud providers develop and release at a different pace compared to the Kubernetes project, abstracting the provider-specific code to the cloud-controller-manager binary allows cloud vendors to evolve independently from the core Kubernetes code. The cloud-controller-manager can be linked to any cloud provider that satisfies cloudprovider.Interface. For backwards compatibility, the cloud-controller-manager provided in the core Kubernetes project uses the same cloud libraries as kube-controller-manager. Cloud providers already supported in Kubernetes core are expected to use the in-tree cloud-controller-manager to transition out of Kubernetes core.

This page shows how to access clusters using the Kubernetes API. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds:

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.

FEATURE STATE: Kubernetes v1.32 [stable](enabled by default) The Kubernetes Memory Manager enables the feature of guaranteed memory (and hugepages) allocation for pods in the Guaranteed QoS class. The Memory Manager employs a hint generation protocol to yield the most suitable NUMA affinity for a pod. The Memory Manager feeds the central manager (Topology Manager) with these affinity hints. Based on both the hints and Topology Manager policy, the pod is rejected or admitted to the node.