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

cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://packages.cloud.google.com/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://packages.cloud.google.com/yum/doc/yum-key.gpg https://packages.cloud.google.com/yum/doc/rpm-package-key.gpg
EOF
yum install -y kubectl

# 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"

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

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

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

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

# Create all the resources avaibale in the folder 
kubeclt create -f <folder_name>

# 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

#Delete all resources available in the folder.
kubectl delete -f <folder_name>

# 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

# 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

# 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=

# 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

# 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)'

# 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

# 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

# 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 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

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

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

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

# 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

#Drain node by ignoring Deamonsets
kubectl drain <node_name> --ignore-daemonsets

# 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

# 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

# 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

# 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

# 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

# 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

# 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

# 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-

# 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

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