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Kubernetes Cheat Sheet


Often you know what you want to do, you just can't remember the Kubernetes terminology, vocabulary, or syntax for how to do it. This Kubernetes cheat sheet is designed to help solve that problem.
Kubernetes provides a way to orchestrate containers to provide a robust, cloud native environment. The architecture looks something like this:

Kubernetes Terms 

Kubernetes terminology with which you should be familiar:

  • Cluster - Group of physical or virtual servers wherein  Kubernetes is installed 

  • Node (Master) - Physical or virtual server that controls the Kubernetes cluster

  • Node (Worker) - Physical or virtual servers where  workloads run in a given container technology 

  • Pods - Group of containers and volumes which share the  same network namespace 

  • Labels - User defined Key:Value pair associated to Pods  

  • Master - Control plane components which provide access  point for admins to manage cluster workloads 

  • Service - An abstraction which serves as a proxy for a group  of Pods performing a “service”

List of Kubernetes objects

Kubernetes enables you to control and orchestrate various types of objects, either by their full name or their "shortname".  These objects include:

  • Container

  • CronJob / cronjobs / cj

  • DaemonSet / daemonsets / ds

  • Deployment / deployments / deploy

  • Job / jobs

  • Pod / pods / po

  • ReplicaSet / replicasets / rs

  • ReplicationController / replicationcontrollers / rc

  • StatefulSet / statefulsets / sts


  • Endpoints / endpoints / ep

  • EndpointSlice / endpointslices

  • Ingress / ingresses / ing

  • IngressClass / ingressclasses

  • Service / services / svc

Config & Storage

  • ConfigMap / configmaps / cm

  • CSIDriver / csidrivers

  • CSINode / csinodes

  • Secret / secrets

  • PersistentVolumeClaim / persistentvolumeclaims / pvc

  • StorageClass / storageclasses / sc

  • CSIStorageCapacity

  • Volume

  • VolumeAttachment / volumeattachments


  • APIService / apiservices

  • Binding / bindings

  • CertificateSigningRequest / certificatesigningrequests / csr

  • ClusterRole / clusterroles

  • ClusterRoleBinding / clusterrolebindings

  • ComponentStatus / componentstatuses/cs

  • FlowSchema / flowschemas

  • Lease / leases

  • LocalSubjectAccessReview / localsubjectaccessreviews

  • Namespace / namespaces/ns

  • NetworkPolicy / networkpolicies / netpol

  • Node / nodes / no

  • PersistentVolume / persistentvolumes / pv

  • PriorityLevelConfiguration / prioritylevelconfigurations

  • ResourceQuota / resourcequotas / quota

  • Role / roles

  • RoleBinding / rolebindings

  • RuntimeClass / runtimeclasses

  • SelfSubjectAccessReview / selfsubjectaccessreviews

  • SelfSubjectRulesReview / selfsubjectrulesreviews

  • ServiceAccount / serviceaccounts / sa

  • StorageVersion

  • SubjectAccessReview / subjectaccessreviews

  • TokenRequest

  • TokenReview / tokenreviews


  • ControllerRevision / controllerrevisions

  • CustomResourceDefinition / customresourcedefinitions / crd,crds

  • Event / events / ev

  • LimitRange / limitranges / limits

  • HorizontalPodAutoscaler / horizontalpodautoscalers / hpa

  • MutatingWebhookConfiguration / mutatingwebhookconfigurations

  • ValidatingWebhookConfiguration / validatingwebhookconfigurations

  • PodTemplate / podtemplates

  • PodDisruptionBudget / poddisruptionbudgets / pdb

  • PriorityClass / priorityclasses / pc

  • PodSecurityPolicy / podsecuritypolicies / psp

In general, any of these commands will work with any of these objects. So rather than:

kubectl get pods

You can use:

kubectl get deployments

Now let's look at getting started.

Get Started 

Setting up a Kubernetes Environment is straightforward.

Setup Kubernetes with k0s

There are many ways to create a Kubernetes cluster; in this case we are assuming you are using k0s with a single-node configuration.  The minimum requirements for this install are: 

  • 1 vCPU (2 vCPU recommended)

  • 1 GB of RAM (2 GB recommended)

  • 1.7 GB of free disk space 

To actually perform the installation, perform these steps on a Linux host:

sudo curl -sSLf | sudo sh
sudo k0s install controller
sudo systemctl start k0scontroller
sudo systemctl enable k0scontroller
mkdir ~/Documents
sudo cp /var/lib/k0s/pki/admin.conf ~/Documents/kubeconfig.cfg
sudo chown $USER ~/Documents/kubeconfig.cfg
export set KUBECONFIG=~/Documents/kubeconfig.cfg

For more information on installing k0s, including making your clusters available from other machines, see this guide to getting started with k0s.

Install kubectl

You can get kubectl, the standard Kubernetes client, in multiple ways.

Use the k0s kubectl instance

The k0s install comes with its own installation of kubectl, so no installation is required, You would simply add "k0s" to the head of each command, as in:

k0s kubectl get nodes

Install kubectl manually

Installing kubectl on Linux is a simple matter of downloading the binary and adding it to your path:

curl -LO "$(curl -L -s >"
sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl

For more information on installing kubectl or for instructions for other operating systems, see the kubectl documentation.

Install Lens Kubernetes IDE

The easiest way to get access to kubectl is to install Lens, which includes kubectl.  It also, however, provides alternative ways to accomplish most of these tasks without actually using kubectl.
You can download and install Lens here, then use the kubectl tool from the terminal.

Description: Showcasing how you can access the terminal via Lens IDE

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Managing Kubernetes resources

Now that you have your software, we can look at actual tasks.

Start a single instance of a pod

kubectl run mywebserver --image=nginx

Create a resource from the command line:

kubectl create deployment myotherwebserver --image=nginx

Accessing the terminal via the Lens IDE and creating a resource via terminal:

Create resource(s) such as pods, services or daemonsets from a YAML definition file:

kubectl create -f ./my-manifest.yaml

Note that the file itself has a format such as:

apiVersion: v1
kind: Pod
  name: rss-site
    app: web
    - name: front-end
      image: nginx
        - containerPort: 80
    - name: rss-reader
      image: nickchase/rss-php-nginx:v1
        - containerPort: 88

For more information on creating YAML documents, see this Introduction to YAML.

Create or apply changes to a resource  

kubectl apply -f ./my-manifest.yaml

Leveraging Lens IDE, Clicking into a pod and making configuration changes to a pod:

Delete a resource via Lens

kubectl delete -f ./my-manifest.yaml

Leveraging Lens IDE, viewing a pod and deleting the pod via Lens

Scale a resource

kubectl scale --replicas=3 deployment.apps/myotherwebserver


kubectl scale --replicas=3 -f my-manifest.yaml

Viewing a dployment and leveraging Kubernetes and the Lens IDE UI to scale that deployment:

Connect to a running container

kubectl attach mywebserver -c mynginx -i

Accessing Lens IDE terminal to connect to a running container:

Run a command in a single container pod

kubectl exec mywebserver -- /home/user/

Delete a resource 

kubectl delete pod/mywebserver


kubectl delete -f ./my-manifest.yaml

Accessing a pod via Lens IDE and deleting the pod via the User Interface:

Viewing resources

Once you have all of these objects, you'll need a way to see what's going on.

View the cluster and client configuration

kubectl config view

Accessing terminal via Lens IDE to view the config:

List all resources in the default namespace  

kubectl get services

Filtering resources through namespaces via Lens IDE

List all resources in a specific namespace  

kubectl get pods -n my-app

Filtering resources through namespaces via Lens IDE

List all resources in all namespaces in wide format  

kubectl get pods -o wide --all-namespaces

Opening Lens IDE terminal to list all resources in all namespaces in wide format:

List all resources in json (or yaml) format 

kubectl get pods -o json

Opening terminal via lens IDE and viewing all resources in JSON format:

Describe resource details  

kubectl describe pods
kubectl describe pod mywebserver

Opening terminal via Lens IDE and running a command to describe pods within your cluster

Get documentation for a resource 

kubectl explain pods 
kubectl explain pod mywebserver

Opening terminal via Lens IDE and reviewing documentation for a specific resource, ex. Pods:

List of resources sorted by name 

kubectl get services

Opening terminal via Lens IDE and listing resources by name

List resources sorted by restart count 

kubectl get pods --sort-by='.status.containerStatuses[0].restartCount'

Opening terminal viaLens IDE to view resources sorted by “Restart count”

 Rolling update pods for resource

kubectl rolling-update echoserver -f  my-manifest.yaml


Kubernetes networking is an entire topic on its own, but here are a few commands that come in handy when building and accessing applications.

Types of services

First, it's important to understand (and remember) the different types of services, because each has a different set of behaviors.

  • ClusterIP is the default ServiceType, ClusterIP services have a cluster-internal IP address, so they can only be reached by other cluster components.  

  • NodePort enables you to create a service that's available from outside the cluster by exposing the service on the same port for every node. For example, the same service might be available on,, and

  • LoadBalancer requires coordination with your cloud provider's load balancer, which automatically routes requests to the service. For this reason, not all distributions of Kubernetes will support LoadBalancer services. 

  • ExternalName is the most complex ServiceType, coordinating the service with your DNS server.

Port vs targetport

One aspect of Kubernetes networking that frequently gets confusing is the notion of port versus targetPort. Here's the difference:

  • port: the port receiving the request

  • targetPort: the container port receiving the request

Think of the request like an arrow flying into a container.
Here are come commands that reference ports (and targetPorts):

Port forwarding from port 5000 to targetPort 6000

kubectl port-forward mywebserver 5000:6000
kubectl port-forward svc/my-service 5000:6000
kubectl port-forward deploy/my-deployment 5000:6000

Create a service that directs requests on port 80 to container port 8000

kubectl expose deployment nginx --port=80 --target-port=8000 --type=LoadBalancer


Finally, you need to know what's going on inside your application.

Dump resource logs to stdout 

kubectl logs myotherwebserver-8458cdb575-s6cp4

Stream logs for a specific container within a pod

kubectl logs -f mywebserver -c mynginx

Leveraging Lens UI to view pod logs without writing any command line:

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