At kubectl.tips, our mission is to provide a comprehensive resource for developers and system administrators who use Kubernetes command line tools like kubectl. We aim to deliver high-quality, up-to-date information and tutorials that help our readers improve their skills and efficiency when working with Kubernetes. Our goal is to become the go-to destination for anyone seeking to learn more about kubectl and other Kubernetes command line tools, and to foster a community of like-minded professionals who share our passion for this powerful technology.
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Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It provides a powerful set of tools for managing containerized workloads, including kubectl, the command-line interface for Kubernetes. Kubectl is a powerful tool that allows you to interact with Kubernetes clusters, manage resources, and deploy applications. In this cheat sheet, we will cover everything you need to know to get started with kubectl.
To use kubectl, you need to have a Kubernetes cluster up and running. You can install Kubernetes on your local machine using tools like Minikube or Docker Desktop. Once you have a Kubernetes cluster running, you can install kubectl using the following commands:
# For macOS brew install kubectl # For Linux curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl && chmod +x kubectl && sudo mv kubectl /usr/local/bin/
Once you have kubectl installed, you can start using it to manage your Kubernetes cluster. Here are some of the basic commands you should know:
# Get information about the Kubernetes cluster kubectl cluster-info # Get a list of nodes in the cluster kubectl get nodes # Get a list of pods in the default namespace kubectl get pods # Get a list of services in the default namespace kubectl get services # Get detailed information about a pod kubectl describe pod <pod-name> # Get logs from a pod kubectl logs <pod-name> # Create a new deployment kubectl create deployment <deployment-name> --image=<image-name> # Scale a deployment kubectl scale deployment <deployment-name> --replicas=<number-of-replicas> # Delete a deployment kubectl delete deployment <deployment-name>
Namespaces are a way to organize resources in a Kubernetes cluster. They provide a way to partition resources and limit access to those resources. By default, Kubernetes creates a namespace called "default" for all resources that are not explicitly assigned to a namespace. Here are some commands related to namespaces:
# Get a list of namespaces kubectl get namespaces # Create a new namespace kubectl create namespace <namespace-name> # Get a list of pods in a specific namespace kubectl get pods --namespace=<namespace-name> # Set the default namespace for kubectl commands kubectl config set-context --current --namespace=<namespace-name>
Labels and Selectors
Labels are key-value pairs that can be attached to Kubernetes resources. They are used to identify and group resources. Selectors are used to filter resources based on their labels. Here are some commands related to labels and selectors:
# Add a label to a pod kubectl label pod <pod-name> <label-key>=<label-value> # Get a list of pods with a specific label kubectl get pods -l <label-key>=<label-value> # Get a list of pods with multiple labels kubectl get pods -l <label-key1>=<label-value1>,<label-key2>=<label-value2> # Delete a label from a pod kubectl label pod <pod-name> <label-key>- # Get a list of pods that do not have a specific label kubectl get pods -l <label-key>!=<label-value>
Deployments are a way to manage the deployment of containerized applications in Kubernetes. They provide a way to declaratively manage the desired state of your application. Here are some commands related to deployments:
# Create a new deployment kubectl create deployment <deployment-name> --image=<image-name> # Get a list of deployments kubectl get deployments # Get detailed information about a deployment kubectl describe deployment <deployment-name> # Scale a deployment kubectl scale deployment <deployment-name> --replicas=<number-of-replicas> # Update a deployment kubectl set image deployment/<deployment-name> <container-name>=<new-image> # Rollback a deployment kubectl rollout undo deployment/<deployment-name>
Services are a way to expose your application to the network. They provide a stable IP address and DNS name for your application, and can load-balance traffic across multiple pods. Here are some commands related to services:
# Create a new service kubectl create service <service-type> <service-name> --tcp=<port>:<target-port> # Get a list of services kubectl get services # Get detailed information about a service kubectl describe service <service-name> # Expose a deployment as a service kubectl expose deployment <deployment-name> --type=<service-type> --port=<port> # Delete a service kubectl delete service <service-name>
ConfigMaps and Secrets
ConfigMaps and Secrets are ways to manage configuration data in Kubernetes. ConfigMaps are used to store configuration data as key-value pairs, while Secrets are used to store sensitive data like passwords and API keys. Here are some commands related to ConfigMaps and Secrets:
# Create a new ConfigMap kubectl create configmap <configmap-name> --from-literal=<key1>=<value1> --from-literal=<key2>=<value2> # Get a list of ConfigMaps kubectl get configmaps # Get detailed information about a ConfigMap kubectl describe configmap <configmap-name> # Create a new Secret kubectl create secret generic <secret-name> --from-literal=<key1>=<value1> --from-literal=<key2>=<value2> # Get a list of Secrets kubectl get secrets # Get detailed information about a Secret kubectl describe secret <secret-name>
Kubectl is a powerful tool that allows you to manage your Kubernetes cluster from the command line. In this cheat sheet, we covered the basic commands for managing resources in Kubernetes, as well as some advanced topics like namespaces, labels and selectors, deployments, services, and ConfigMaps and Secrets. With this knowledge, you should be able to get started with Kubernetes and start deploying your containerized applications with confidence.
Common Terms, Definitions and Jargon1. Kubernetes: An open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
2. kubectl: A command-line interface tool used to interact with Kubernetes clusters.
3. API server: The component of the Kubernetes control plane that exposes the Kubernetes API.
4. Control plane: The set of Kubernetes components that manage the state of the cluster.
5. Node: A worker machine in Kubernetes that runs containerized applications.
6. Pod: The smallest deployable unit in Kubernetes, consisting of one or more containers.
7. ReplicaSet: A Kubernetes object that ensures a specified number of replicas of a pod are running at all times.
8. Deployment: A Kubernetes object that manages the rollout and scaling of a set of replicas.
9. Service: A Kubernetes object that provides a stable IP address and DNS name for a set of pods.
10. Namespace: A way to divide cluster resources between multiple users or teams.
11. ConfigMap: A Kubernetes object that stores configuration data as key-value pairs.
12. Secret: A Kubernetes object that stores sensitive data, such as passwords or API keys.
13. Volume: A way to store data in Kubernetes that persists beyond the lifetime of a pod.
14. PersistentVolume: A Kubernetes object that represents a piece of storage in the cluster.
15. PersistentVolumeClaim: A Kubernetes object that requests a specific amount of storage from a PersistentVolume.
16. StatefulSet: A Kubernetes object that manages the deployment and scaling of stateful applications.
17. DaemonSet: A Kubernetes object that ensures a pod is running on every node in the cluster.
18. Job: A Kubernetes object that runs a task to completion.
19. CronJob: A Kubernetes object that runs a task on a schedule.
20. HorizontalPodAutoscaler: A Kubernetes object that automatically scales the number of replicas of a pod based on resource usage.
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