Synopsis Set the current-context in a kubeconfig file. kubectl config use-context CONTEXT_NAME Examples # Use the context for the minikube cluster kubectl config use-context minikube Options -h, --help help for use-context Parent Options Inherited --as string Username to impersonate for the operation. User could be a regular user or a service account in a namespace. --as-group strings Group to impersonate for the operation, this flag can be repeated to specify multiple groups.

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.

Production-Grade Container Orchestration

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.

This topic discusses multiple ways to interact with clusters. Accessing for the first time with kubectl When accessing the Kubernetes API for the first time, we suggest using the Kubernetes CLI, kubectl. To access a cluster, you need to know the location of the cluster and have credentials to access it. Typically, this is automatically set-up when you work through a Getting started guide, or someone else set up the cluster and provided you with credentials and a location.

Use kubectl patch to update Kubernetes API objects in place. Do a strategic merge patch or a JSON merge patch.

Static Pods are managed directly by the kubelet daemon on a specific node, without the API server observing them. Unlike Pods that are managed by the control plane (for example, a Deployment); instead, the kubelet watches each static Pod (and restarts it if it fails). Static Pods are always bound to one Kubelet on a specific node. The kubelet automatically tries to create a mirror Pod on the Kubernetes API server for each static Pod.

To scale an application and provide a reliable service, you need to understand how the application behaves when it is deployed. You can examine application performance in a Kubernetes cluster by examining the containers, pods, services, and the characteristics of the overall cluster. Kubernetes provides detailed information about an application's resource usage at each of these levels. This information allows you to evaluate your application's performance and where bottlenecks can be removed to improve overall performance.