A cheat sheet for Kubernetes commands.
Linux
alias k=kubectl
Windows
Set-Alias -Name k -Value kubectl
- Get clusters
kubectl config get-clusters
NAME
docker-for-desktop-cluster
foo
- Get cluster info.
kubectl cluster-info
Kubernetes master is running at https://172.17.0.58:8443
A context is a cluster, namespace and user.
- Get a list of contexts.
kubectl config get-contexts
CURRENT NAME CLUSTER AUTHINFO NAMESPACE
docker-desktop docker-desktop docker-desktop
* foo foo foo bar
- Get the current context.
kubectl config current-context
foo
- Switch current context.
kubectl config use-context docker-desktop
- Set default namesapce
kubectl config set-context $(kubectl config current-context) --namespace=my-namespace
To switch between contexts, you can also install and use kubectx.
kubectl get all
kubectl get namespaces
kubectl get configmaps
kubectl get nodes
kubectl get pods
kubectl get rs
kubectl get svc kuard
kubectl get endpoints kuard
Additional switches that can be added to the above commands:
-o wide- Show more information.--watchor-w- watch for changes.
--namespace- Get a resource for a specific namespace.
You can set the default namespace for the current context like so:
kubectl config set-context $(kubectl config current-context) --namespace=my-namespace
To switch namespaces, you can also install and use kubens.
- Get pods showing labels.
kubectl get pods --show-labels
- Get pods by label.
kubectl get pods -l environment=production,tier!=frontend
kubectl get pods -l 'environment in (production,test),tier notin (frontend,backend)'
kubectl describe nodes [id]
kubectl describe pods [id]
kubectl describe rs [id]
kubectl describe svc kuard [id]
kubectl describe endpoints kuard [id]
kubectl delete nodes [id]
kubectl delete pods [id]
kubectl delete rs [id]
kubectl delete svc kuard [id]
kubectl delete endpoints kuard [id]
Force a deletion of a pod without waiting for it to gracefully shut down
kubectl delete pod-name --grace-period=0 --force
kubectl create can be used to create new resources while kubectl apply inserts or updates resources while maintaining any manual changes made like scaling pods.
--record- Add the current command as an annotation to the resource.--recursive- Recursively look for yaml in the specified directory.
kubectl run kuard --generator=run-pod/v1 --image=gcr.io/kuar-demo/kuard-amd64:1 --output yaml --export --dry-run > kuard-pod.yml
kubectl apply -f kuard-pod.yml
kubectl run kuard --image=gcr.io/kuar-demo/kuard-amd64:1 --output yaml --export --dry-run > kuard-deployment.yml
kubectl apply -f kuard-deployment.yml
kubectl expose deployment kuard --port 8080 --target-port=8080 --output yaml --export --dry-run > kuard-service.yml
kubectl apply -f kuard-service.yml
kubectl run my-cool-app —-image=me/my-cool-app:v1 --output yaml --export --dry-run > my-cool-app.yaml
kubectl get deployment my-cool-app --output yaml --export > my-cool-app.yaml
- Get logs.
kubectl logs -l app=kuard
- Get logs for previously terminated container.
kubectl logs POD_NAME --previous
- Watch logs in real time.
kubectl attach POD_NAME
- Copy files out of pod (Requires
tarbinary in container).
kubectl cp POD_NAME:/var/log .
You can also install and use kail.
kubectl port-forward deployment/kuard 8080:8080
- Update replicas.
kubectl scale deployment nginx-deployment --replicas=10
- Set autoscaling config.
kubectl autoscale deployment nginx-deployment --min=10 --max=15 --cpu-percent=80
- Get rollout status.
kubectl rollout status deployment/nginx-deployment
Waiting for rollout to finish: 2 out of 3 new replicas have been updated...
deployment "nginx-deployment" successfully rolled out
- Get rollout history.
kubectl rollout history deployment/nginx-deployment
kubectl rollout history deployment/nginx-deployment --revision=2
- Undo a rollout.
kubectl rollout undo deployment/nginx-deployment
kubectl rollout undo deployment/nginx-deployment --to-revision=2
- Pause/resume a rollout
kubectl rollout pause deployment/nginx-deployment
kubectl rollout resume deploy/nginx-deployment
apiVersion: v1
kind: Pod
metadata:
name: cuda-test
spec:
containers:
- name: cuda-test
image: "k8s.gcr.io/cuda-vector-add:v0.1"
resources:
limits:
nvidia.com/gpu: 1
nodeSelector:
accelerator: nvidia-tesla-p100
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
namespace: my-namespace
labels:
- environment: production,
- teir: frontend
annotations:
- key1: value1,
- key2: value2
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
- Enable proxy
kubectl proxy
az aks get-credentials --resource-group <Resource Group Name> --name <AKS Name>
Secure the dashboard like this. Then run:
az aks browse --resource-group <Resource Group Name> --name <AKS Name>
Get updates
az aks get-upgrades --resource-group <Resource Group Name> --name <AKS Name>