Kubectl

Kubectl is a command line interface for running commands against Kubernetes clusters.

Installing

The kubectl version has to be within one minor version difference of the Kubernetes cluster. For example, a v1.2 client should work with v1.1, v1.2, and v1.3 master.

Kubectl can be installed on Ubuntu, Debian, CentOS, RedHat, MacOS and Windows operating systems.

Ubuntu / Debian

sudo apt-get update && sudo apt-get install -y apt-transport-https
curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
echo "deb https://apt.kubernetes.io/ kubernetes-xenial main" | sudo tee -a /etc/apt/sources.list.d/kubernetes.list
sudo apt-get update
sudo apt-get install -y kubectl

CentOS / RedHat

MacOS

Windows

For further information about Kubectl installation method, please refer to the Kubernetes documentation.

Completion

To easy manage the Kubernetes resources thanks to the command line Kubectl, the shell completion can be added to the shell profile to easily navigate in command line.

# Installing bash completion on macOS using homebrew
## If running Bash 3.2 included with macOS
brew install bash-completion
## or, if running Bash 4.1+
brew install bash-completion@2
## If kubectl is installed via homebrew, this should start working immediately.
## If you've installed via other means, you may need add the completion to your completion directory
kubectl completion bash > $(brew --prefix)/etc/bash_completion.d/kubectl


# Installing bash completion on Linux
## Load the kubectl completion code for bash into the current shell
source <(kubectl completion bash)
## Write bash completion code to a file and source if from .bash_profile
kubectl completion bash > ~/.kube/completion.bash.inc
printf "
# Kubectl shell completion
source '$HOME/.kube/completion.bash.inc'
" >> $HOME/.bash_profile
source $HOME/.bash_profile

# Load the kubectl completion code for zsh[1] into the current shell
source <(kubectl completion zsh)
# Set the kubectl completion code for zsh[1] to autoload on startup
kubectl completion zsh > "${fpath[1]}/_kubectl"

A project called kube-shell give an alternative to the configuration of the autocompletion of kubectl. Kube-shell integrate shell for working with the Kubernetes CLI. Under the hood kube-shell still calls kubectl. KuIt aims to provide ease-of-use of kubectl and increasing productivity.

Syntax

Kubectl is a powerful tool to manage each object on a Kubernetes cluster. The command has a simple and unique syntax to manage everything :

kubectl [command] [TYPE] [NAME] [flags]

• command : specifies the operation that you want to perform on one or more resources (create, get, describe, delete)

• type : specifies the resource type. Resource types are case-insensitive and you can specify the singular, plural, or abbreviated forms

• name : specifies the name of the resource. Names are case-sensitive. If the name is omitted, details for all resources are displayed

• flags : specifies optional flags.

Operations

The following table includes short descriptions and general syntax for all kubectl operations :

Operation	Description
annotate	Update the annotations on a resource
api-resources	Print the supported API versions on the server, in the form of "group/version"
apply	Apply a configuration to a resource by filename or stdin
attach	Attach to a running container
auth	Inspect authorization
autoscale	Auto-scale a Deployment, ReplicaSet, or ReplicationController
certificate	Modify certificate resources
cluster-info	Display cluster info
config	Modify kubeconfig files
convert	Convert config files between different API versions
cordon	Mark node as unschedulable
cp	Copy files and directories to and from containers
create	Create a resource from a file or from stdin
delete	Delete resources by filenames, stdin, resources and names, or by resources and label selector
describe	Show details of a specific resource or group of resources
drain	Drain node in preparation for maintenance
edit	Edit a resource on the server
exec	Execute a command in a container
explain	Documentation of resources
expose	Take a replication controller, service, deployment or pod and expose it as a new Kubernetes Service
get	Display one or many resources
label	Update the labels on a resource
logs	Print the logs for a container in a pod
patch	Update field(s) of a resource using strategic merge patch
plugin	Runs a command-line plugin
port-forward	Forward one or more local ports to a pod
proxy	Run a proxy to the Kubernetes API server
replace	Replace a resource by filename or stdin
rolling-update	Perform a rolling update of the given ReplicationController (Deprecated)
rollout	Manage the rollout of a resource
run	Run a particular image on the cluster
scale	Set a new size for a Deployment, ReplicaSet, Replication Controller, or Job
set	Set specific features on objects
taint	Update the taints on one or more nodes
top	Display Resource (CPU/Memory/Storage) usage
uncordon	Mark node as schedulable
version	Print the client and server version information

Resource Types

The following table includes a list of all the supported resource types and their abbreviated aliases :

Resource type	Abbreviated alias
all	all
certificatesigningrequests	csr
clusterrolebindings	clusterrolebindings
clusterroles	clusterroles
componentstatuses	cs
configmaps	cm
controllerrevisions	controllerrevisions
cronjobs	cronjobs
customresourcedefinition	crd
daemonsets	ds
deployments	deploy
endpoints	ep
events	ev
horizontalpodautoscalers	hpa
ingresses	ing
jobs	jobs
limitranges	limits
namespaces	ns
networkpolicies	netpol
nodes	no
persistentvolumeclaims	pvc
persistentvolumes	pv
poddisruptionbudgets	pdb
podpreset	podpreset
pods	po
podsecuritypolicies	psp
podtemplates	podtemplates
replicasets	rs
replicationcontrollers	rc
resourcequotas	quota
rolebindings	rolebindings
roles	roles
secrets	secrets
serviceaccounts	sa
services	svc
statefulsets	sts
storageclasses	sc

Basic commands

Create

Create a resource from a file or from stdin.

# Create a pod using the data in pod.json.
kubectl apply -f ./pod.json

# Create a pod based on the JSON passed into stdin.
cat pod.json | kubectl apply -f -

# Edit the data in docker-registry.yaml in JSON using the v1 API format then create the resource using the edited data.
kubectl apply -f docker-registry.yaml --edit --output-version=v1 -o json

Delete

Delete resources by filenames, stdin, resources and names, or by resources and label selector.

# Delete a pod using the type and name specified in pod.json.
kubectl delete -f ./pod.json

# Delete a pod based on the type and name in the JSON passed into stdin.
cat pod.json | kubectl delete -f -

# Delete pods and services with same names "baz" and "foo"
kubectl delete pod,service baz foo

# Delete pods and services with label name=myLabel.
kubectl delete pods,services -l name=myLabel

# Delete a pod with minimal delay
kubectl delete pod foo --now

# Force delete a pod on a dead node
kubectl delete pod foo --grace-period=0 --force

# Delete all pods
kubectl delete pods --all

Edit

Edit a resource from the default editor.

# Edit the service named 'docker-registry':
kubectl edit svc/docker-registry

# Use an alternative editor
KUBE_EDITOR="nano" kubectl edit svc/docker-registry

# Edit the job 'myjob' in JSON using the v1 API format:
kubectl edit job.v1.batch/myjob -o json

# Edit the deployment 'mydeployment' in YAML and save the modified config in its annotation:
kubectl edit deployment/mydeployment -o yaml --save-config

Expose

Expose a resource as a new Kubernetes service.

# Create a service for a replicated nginx, which serves on port 80 and connects to the containers on port 8000.
kubectl expose rc nginx --port=80 --target-port=8000

# Create a service for a replication controller identified by type and name specified in "nginx-controller.yaml", which serves on port 80 and connects to the containers on port 8000.
kubectl expose -f nginx-controller.yaml --port=80 --target-port=8000

# Create a service for a pod valid-pod, which serves on port 444 with the name "frontend"
kubectl expose pod valid-pod --port=444 --name=frontend

# Create a second service based on the above service, exposing the container port 8443 as port 443 with the name "nginx-https"
kubectl expose service nginx --port=443 --target-port=8443 --name=nginx-https

# Create a service for a replicated streaming application on port 4100 balancing UDP traffic and named 'video-stream'.
kubectl expose rc streamer --port=4100 --protocol=udp --name=video-stream

# Create a service for a replicated nginx using replica set, which serves on port 80 and connects to the containers on port 8000.
kubectl expose rs nginx --port=80 --target-port=8000

# Create a service for an nginx deployment, which serves on port 80 and connects to the containers on port 8000.
kubectl expose deployment nginx --port=80 --target-port=8000

Get

Display one or many resources.

# List all pods.
kubectl get pods

# List all pods in ps output format with more information (such as node name).
kubectl get pods -o wide

# List a single replication controller with specified NAME in ps output format.
kubectl get replicationcontroller web

# List a single pod in JSON output format.
kubectl get -o json pod <pod-name>

# List a pod identified by type and name specified in "pod.yaml" in JSON output format.
kubectl get -f pod.yaml -o json

# Return only the phase value of the specified pod.
kubectl get -o template pod/<pod-name> --template={{.status.phase}}

# List all replication controllers and services together in ps output format.
kubectl get rc,services

# List one or more resources by their type and names.
kubectl get rc/web service/frontend pods/<pod-name>

# List all resources with different types.
kubectl get all

Run

Create and run a particular image, possibly replicated.

# Start a single instance of nginx.
kubectl run nginx --image=nginx

# Start a single instance of hazelcast and let the container expose port 5701 .
kubectl run hazelcast --image=hazelcast --port=5701

# Start a single instance of hazelcast and set environment variables "DNS_DOMAIN=cluster" and "POD_NAMESPACE=default" in the container.
kubectl run hazelcast --image=hazelcast --env="DNS_DOMAIN=cluster" --env="POD_NAMESPACE=default"

# Start a single instance of hazelcast and set labels "app=hazelcast" and "env=prod" in the container.
kubectl run hazelcast --image=nginx --labels="app=hazelcast,env=prod"

# Start a replicated instance of nginx.
kubectl run nginx --image=nginx --replicas=5

# Dry run. Print the corresponding API objects without creating them.
kubectl run nginx --image=nginx --dry-run

# Start a single instance of nginx, but overload the spec of the deployment with a partial set of values parsed from JSON.
kubectl run nginx --image=nginx --overrides='{ "apiVersion": "v1", "spec": { ... } }'

# Start a pod of busybox and keep it in the foreground, don't restart it if it exits.
kubectl run -i -t busybox --image=busybox --restart=Never

# Start the nginx container using the default command, but use custom arguments (arg1 .. argN) for that command.
kubectl run nginx --image=nginx -- <arg1> <arg2> ... <argN>

# Start the nginx container using a different command and custom arguments.
kubectl run nginx --image=nginx --command -- <cmd> <arg1> ... <argN>

# Start the perl container to compute π to 2000 places and print it out.
kubectl run pi --image=perl --restart=OnFailure -- perl -Mbignum=bpi -wle 'print bpi(2000)'

# Start the cron job to compute π to 2000 places and print it out every 5 minutes.
kubectl run pi --schedule="0/5 * * * ?" --image=perl --restart=OnFailure -- perl -Mbignum=bpi -wle 'print bpi(2000)'

Set

Configure application resources.

# Update deployment 'registry' with a new environment variable
kubectl set env deployment/registry STORAGE_DIR=/local

# List the environment variables defined on a deployments 'sample-build'
kubectl set env deployment/sample-build --list

# List the environment variables defined on all pods
kubectl set env pods --all --list

# Output modified deployment in YAML, and does not alter the object on the server
kubectl set env deployment/sample-build STORAGE_DIR=/data -o yaml

# Update all containers in all replication controllers in the project to have ENV=prod
kubectl set env rc --all ENV=prod

# Import environment from a secret
kubectl set env --from=secret/mysecret deployment/myapp

# Import environment from a config map with a prefix
kubectl set env --from=configmap/myconfigmap --prefix=MYSQL_ deployment/myapp

# Remove the environment variable ENV from container 'c1' in all deployment configs
kubectl set env deployments --all --containers="c1" ENV-

# Remove the environment variable ENV from a deployment definition on disk and
# update the deployment config on the server
kubectl set env -f deploy.json ENV-

# Set some of the local shell environment into a deployment config on the server
env | grep RAILS_ | kubectl set env -e - deployment/registry

# Set a deployment's nginx container image to 'nginx:1.9.1', and its busybox container image to 'busybox'.
kubectl set image deployment/nginx busybox=busybox nginx=nginx:1.9.1

# Update all deployments' and rc's nginx container's image to 'nginx:1.9.1'
kubectl set image deployments,rc nginx=nginx:1.9.1 --all

# Update image of all containers of daemonset abc to 'nginx:1.9.1'
kubectl set image daemonset abc *=nginx:1.9.1

# Print result (in yaml format) of updating nginx container image from local file, without hitting the server
kubectl set image -f path/to/file.yaml nginx=nginx:1.9.1 --local -o yaml

# Set a deployments nginx container cpu limits to "200m" and memory to "512Mi"
kubectl set resources deployment nginx -c=nginx --limits=cpu=200m,memory=512Mi

# Set the resource request and limits for all containers in nginx
kubectl set resources deployment nginx --limits=cpu=200m,memory=512Mi --requests=cpu=100m,memory=256Mi

# Remove the resource requests for resources on containers in nginx
kubectl set resources deployment nginx --limits=cpu=0,memory=0 --requests=cpu=0,memory=0

# Print the result (in yaml format) of updating nginx container limits from a local, without hitting the server
kubectl set resources -f path/to/file.yaml --limits=cpu=200m,memory=512Mi --local -o yaml

# Set Deployment nginx-deployment's ServiceAccount to serviceaccount1
kubectl set serviceaccount deployment nginx-deployment serviceaccount1

# Print the result (in yaml format) of updated nginx deployment with serviceaccount from local file, without hitting apiserver
kubectl set sa -f nginx-deployment.yaml serviceaccount1 --local --dry-run -o yaml

Deploy commands

Autoscale

Creates an autoscaler that automatically chooses and sets the number of pods that run in a kubernetes cluster.

# Auto scale a deployment "foo", with the number of pods between 2 and 10, no target CPU utilization specified so a default autoscaling policy will be used:
kubectl autoscale deployment foo --min=2 --max=10

# Auto scale a replication controller "foo", with the number of pods between 1 and 5, target CPU utilization at 80%:
kubectl autoscale rc foo --max=5 --cpu-percent=80

Rollout

Manage the rollout of a resource.

# Rollback to the previous deployment
kubectl rollout undo deployment/abc

# Check the rollout status of a daemonset
kubectl rollout status daemonset/foo

# 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

# Mark the nginx deployment as paused. Any current state of
# the deployment will continue its function, new updates to the deployment will not
# have an effect as long as the deployment is paused.
kubectl rollout pause deployment/nginx

# Resume an already paused deployment
kubectl rollout resume deployment/nginx

# Watch the rollout status of a deployment
kubectl rollout status deployment/nginx

# Rollback to the previous deployment
kubectl rollout undo deployment/abc

# Rollback to daemonset revision 3
kubectl rollout undo daemonset/abc --to-revision=3

# Rollback to the previous deployment with dry-run
kubectl rollout undo --dry-run=true deployment/abc

Scale

Set a new size for a Deployment, ReplicaSet, Replication Controller, or StatefulSet.

# Scale a replicaset named 'foo' to 3.
kubectl scale --replicas=3 rs/foo

# Scale a resource identified by type and name specified in "foo.yaml" to 3.
kubectl scale --replicas=3 -f foo.yaml

# If the deployment named mysql's current size is 2, scale mysql to 3.
kubectl scale --current-replicas=2 --replicas=3 deployment/mysql

# Scale multiple replication controllers.
kubectl scale --replicas=5 rc/foo rc/bar rc/baz

# Scale statefulset named 'web' to 3.
kubectl scale --replicas=3 statefulset/web

Cluster management commands

Cluster-info

Display addresses of the master and services with label kubernetes.io/cluster-service=true To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.

# Print the address of the master and cluster services
kubectl cluster-info

Cordon / Uncordon

Mark node as (un)schedulable.

# Mark node "foo" as unschedulable.
kubectl cordon foo

# Mark node "foo" as schedulable.
$ kubectl uncordon foo

Drain

Drain node in preparation for maintenance.

# Drain node "foo", even if there are pods not managed by a ReplicationController, ReplicaSet, Job, DaemonSet or StatefulSet on it.
$ kubectl drain foo --force

# As above, but abort if there are pods not managed by a ReplicationController, ReplicaSet, Job, DaemonSet or StatefulSet, and use a grace period of 15 minutes.
$ kubectl drain foo --grace-period=90

Taint

Update the taints on one or more nodes

# Update node 'foo' with a taint with key 'dedicated' and value 'special-user' and effect 'NoSchedule'.
# If a taint with that key and effect already exists, its value is replaced as specified.
kubectl taint nodes foo dedicated=special-user:NoSchedule

# Remove from node 'foo' the taint with key 'dedicated' and effect 'NoSchedule' if one exists.
kubectl taint nodes foo dedicated:NoSchedule-

# Remove from node 'foo' all the taints with key 'dedicated'
kubectl taint nodes foo dedicated-

# Add a taint with key 'dedicated' on nodes having label mylabel=X
kubectl taint node -l myLabel=X  dedicated=foo:PreferNoSchedule

Top

Display Resource (CPU/Memory/Storage) usage.

# Show metrics for all nodes
kubectl top node

# Show metrics for a given node
kubectl top node NODE_NAME

# Show metrics for all pods in the default namespace
kubectl top pod

# Show metrics for all pods in the given namespace
kubectl top pod --namespace=NAMESPACE

# Show metrics for a given pod and its containers
kubectl top pod POD_NAME --containers

# Show metrics for the pods defined by label name=myLabel
kubectl top pod -l name=myLabel

Troubleshooting and debugging commands

Describe

Show details of a specific resource or group of resources.

# Describe a node
kubectl describe nodes kubernetes-node-emt8.c.myproject.internal

# Describe a pod
kubectl describe pods/<pod-name>

# Describe a pod identified by type and name in "pod.json"
kubectl describe -f pod.json

# Describe all pods
kubectl describe pods

# Describe pods by label name=myLabel
kubectl describe po -l name=myLabel

# Describe all pods managed by the 'frontend' replication controller (rc-created pods
# get the name of the rc as a prefix in the pod the name).
kubectl describe pods frontend

Exec

Execute a command in a container.

# Get output from running 'date' from pod 123456-7890, using the first container by default
kubectl exec 123456-7890 date

# Get output from running 'date' in ruby-container from pod 123456-7890
kubectl exec 123456-7890 -c ruby-container date

# Switch to raw terminal mode, sends stdin to 'bash' in ruby-container from pod 123456-7890
# and sends stdout/stderr from 'bash' back to the client
kubectl exec 123456-7890 -c ruby-container -i -t -- bash -il

# List contents of /usr from the first container of pod 123456-7890 and sort by modification time.
# If the command you want to execute in the pod has any flags in common (e.g. -i),
# you must use two dashes (--) to separate your command's flags/arguments.
# Also note, do not surround your command and its flags/arguments with quotes
# unless that is how you would execute it normally (i.e., do ls -t /usr, not "ls -t /usr").
kubectl exec 123456-7890 -i -t -- ls -t /usr

Logs

Print the logs for a container in a pod or specified resource. If the pod has only one container, the container name is optional.

# Return snapshot logs from pod nginx with only one container
kubectl logs nginx

# Return snapshot logs for the pods defined by label app=nginx
kubectl logs -lapp=nginx

# Return snapshot of previous terminated ruby container logs from pod web-1
kubectl logs -p -c ruby web-1

# Begin streaming the logs of the ruby container in pod web-1
kubectl logs -f -c ruby web-1

# Display only the most recent 20 lines of output in pod nginx
kubectl logs --tail=20 nginx

# Show all logs from pod nginx written in the last hour
kubectl logs --since=1h nginx

# Return snapshot logs from first container of a job named hello
kubectl logs job/hello

# Return snapshot logs from container nginx-1 of a deployment named nginx
kubectl logs deployment/nginx -c nginx-1

Proxy

Creates a proxy server or application-level gateway between localhost and the Kubernetes API Server. It also allows serving static content over specified HTTP path. All incoming data enters through one port and gets forwarded to the remote kubernetes API Server port, except for the path matching the static content path.

# To proxy all of the kubernetes api and nothing else, use:
$ kubectl proxy --api-prefix=/

# To proxy only part of the kubernetes api and also some static files:
$ kubectl proxy --www=/my/files --www-prefix=/static/ --api-prefix=/api/
# The above lets you 'curl localhost:8001/api/v1/pods'.

# To proxy the entire kubernetes api at a different root, use:
$ kubectl proxy --api-prefix=/custom/
# The above lets you 'curl localhost:8001/custom/api/v1/pods'

# Run a proxy to kubernetes apiserver on port 8011, serving static content from ./local/www/
kubectl proxy --port=8011 --www=./local/www/

# Run a proxy to kubernetes apiserver on an arbitrary local port.
# The chosen port for the server will be output to stdout.
kubectl proxy --port=0

Advanced commands

Apply

Apply a configuration to a resource by filename or stdin. The resource name must be specified. This resource will be created if it doesn't exist yet. To use 'apply', always create the resource initially with either 'apply' or 'create --save-config'.

# Apply the configuration in pod.json to a pod.
kubectl apply -f ./pod.json

# Apply the JSON passed into stdin to a pod.
cat pod.json | kubectl apply -f -

# Note: --prune is still in Alpha
# Apply the configuration in manifest.yaml that matches label app=nginx and delete all the other resources that are not in the file and match label app=nginx.
kubectl apply --prune -f manifest.yaml -l app=nginx

# Apply the configuration in manifest.yaml and delete all the other configmaps that are not in the file.
kubectl apply --prune -f manifest.yaml --all --prune-whitelist=core/v1/ConfigMap

Settings commands

Label

Update the labels on a resource.

# Update pod 'foo' with the label 'unhealthy' and the value 'true'.
kubectl label pods foo unhealthy=true

# Update pod 'foo' with the label 'status' and the value 'unhealthy', overwriting any existing value.
kubectl label --overwrite pods foo status=unhealthy

# Update all pods in the namespace
kubectl label pods --all status=unhealthy

# Update a pod identified by the type and name in "pod.json"
kubectl label -f pod.json status=unhealthy

# Update pod 'foo' only if the resource is unchanged from version 1.
kubectl label pods foo status=unhealthy --resource-version=1

# Update pod 'foo' by removing a label named 'bar' if it exists.
# Does not require the --overwrite flag.
kubectl label pods foo bar-

Other commands

Config

Modify kubeconfig files using subcommands like "kubectl config set current-context my-context".

# Display the current-context
kubectl config current-context

# Delete the minikube cluster
kubectl config delete-cluster minikube

# Delete the context for the minikube cluster
kubectl config delete-context minikube

# List the clusters kubectl knows about
kubectl config get-clusters

# List the context kubectl knows about
kubectl config get-contexts

# Rename the context 'old-name' to 'new-name' in your kubeconfig file
kubectl config rename-context old-name new-name

# 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 --certificate-authority=~/.kube/e2e/kubernetes.ca.crt

# Disable cert checking for the dev cluster entry
kubectl config set-cluster e2e --insecure-skip-tls-verify=true

# Set the user field on the gce context entry without touching other values
kubectl config set-context gce --user=cluster-admin

# Use the context for the minikube cluster
kubectl config use-context minikube

Version

Print the client and server version information for the current context.

# Print the client and server versions for the current context
kubectl version

Customization

Kubectl has some limitation when we talk about management of multiple clusters with multiple context with multiple namespace. Sometimes it is more convenient to be faster in the command line.

Namespace reminder

Some tools have been developed to let the terminal remember the current namespace where the kubectl command has to be execute. Here are convenient helper tools :

• kubensx a simple tool to easily switch between context, user and namespace in command line.

• change-ns is a plugin that can be installed with the kubectl Krew package manager to remember the current namespace.

Manage aliases

Like each command line, the autocompletion sometimes is not enough to be faster as possible in the maintenance of the cluster objects.

Manage some Kubectl aliases can be a good alternative to the autocompletion. This Github project defined automatically some useful aliases to easily manage the Kubernetes objects.

Here are some example of aliases :

alias k=kubectl
alias kg='kubectl get'
alias kl='kubectl logs '
alias kx='kubectl exec -it'

Highlighter

Customize the bash or zsh prompt can be useful to easily get information without executing commands.

The project kube-ps1 is a script that adds the current Kubernetes context and namespace configured on kubectl to the Bash/Zsh prompt strings.

Here is an example of that useful tool :

Plugins

Google has developed an extension to the Kubectl command to easily manage his plugin as apt or yum can do on a Linux operating system.

Krew is a tool that makes it easy to use kubectl plugins. It helps to discover plugins, install and manage them on a machine. It is similar to tools like apt, dnf or brew.

Krew is only compatible with kubectl v1.12 or higher.

Krew can be installed on Linux, Mac and Windows, everything is explain on the Github web page.

Here are some example of using Kubectl to manage plugins :

# Show all plugins
kubectl krew search

# Install a plugin named "change-ns"
kubectl krew install change-ns

# Use the plugin
kubectl change-ns

# Upgrade installed plugins
kubectl krew upgrade

# Uninstall a plugin
kubectl krew remove change-ns

External documentation

To go further in the management of Kubectl, please refer to these documentations :

• Official Kubernetes documentation on Kubectl command line

• Official Kubernetes documentation to install Kubectl command line

• Official Kubectl commands details

• Github project to manage the bash and zsh prompt

• Github project to get kube-shell tool

• Github project to easily manage kubectl alias in command line

• Official Kubernetes documentation on Kubectl plugins