{"id":16216,"date":"2023-11-30T02:32:59","date_gmt":"2023-11-30T02:32:59","guid":{"rendered":"https:\/\/businessyield.com\/tech\/?p=16216"},"modified":"2023-11-30T02:33:01","modified_gmt":"2023-11-30T02:33:01","slug":"kubectl-commands","status":"publish","type":"post","link":"https:\/\/businessyield.com\/tech\/terms\/kubectl-commands\/","title":{"rendered":"KUBECTL COMMANDS: Everything You Need To Know","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"\n
If you are new to Kubernetes, it can be hard to keep track of everything. Knowing about all the different objects Kubernetes provides should be enough, right? No, it gets even more complicated for beginners when they try to interact with K8 clusters. As with Kubernetes, Kubectl is built and released as part of it, and it uses the same versioning system. Therefore, it is crucial to review the fundamentals by learning what Kubectl is, what it does, and how to run it on Windows before moving on to the cheat sheet. To help you, this article will walk you through the examples of Kubectl commands you need to know about.<\/p>\n\n\n\n
Kubectl is a command-line tool for Kubernetes that lets you talk to and manage Kubernetes clusters. It talks to the Kubernetes API server to do management tasks. It verifies its identity with the master node of your cluster and uses API calls to do this. Kubectl also lets you create, inspect, update, and delete Kubernetes objects, as well as deploy apps, look at and manage cluster resources, and see logs. Kubectl provides three methods.<\/p>\n\n\n\n
In essence, this indicates that the standard object notation is an object type, a slash, and then an object name.<\/p>\n\n\n\n
Kubectl is the command-line tool for Kubernetes configuration that talks to a Kubernetes API server. You can create, inspect, update, and delete Kubernetes objects with Kubectl. This cheat sheet will help you quickly run commands on a lot of common Kubernetes resources, Windows, and components.<\/p>\n\n\n\n
Also, you can use the full command for an object on things like pod(s) or the shortcode variation that is said in the section headings. The result will be the same for all of them. When you run most of the commands, you should also make sure to add the <name of the resource you are managing.<\/p>\n\n\n\n
Some terms you should know before you start using Kubernetes have been listed below:<\/p>\n\n\n\n
Okay, now that we have a good idea of what Kubernetes is, let’s go to the cheat sheet.<\/p>\n\n\n\n
This part will list and explain each commonly used Kubernetes (K8S) category or component, along with the right Kubectl commands for quick reference!<\/p>\n\n\n\n
In Kubectl, you can specify optional flags for use with various commands.<\/p>\n\n\n\n
alias k=kubectl<\/p>\n\n\n\n
echo ‘alias k=kubectl’ >> ~\/.bashrc<\/p>\n\n\n\n
kubectl get pods -o=json<\/p>\n\n\n\n
kubectl get pods -o=yaml<\/p>\n\n\n\n
Files for Configuration: Store multiple object configuration files in a directory, and use Kubectl to create and update Kubernetes objects as needed. This lets you create, update, and delete objects. In essence, there is no need to merge changes made to live objects back into the object configuration files with this method. Furthermore, Kubectl diff shows you a sneak peek of the changes that it will bring about.<\/p>\n\n\n\n
Cluster management refers to querying information about the K8S cluster itself.<\/p>\n\n\n\n
DaemonSets guarantees that all (or some) nodes run a copy of a pod. It is possible to add pods to nodes as they are added to the cluster. Any pods that are no longer needed are thrown away when a node is removed from the cluster. Also, cleaning up the pods that a DaemonSet made will happen when you delete them.<\/p>\n\n\n\n
A deployment gives Pods and ReplicaSets declarative updates. This is where you describe the state you want in a deployment, and at a controlled rate, the deployment controller changes the current state to the state you want. That is to say, one way to define deployments is to make new replica sets or to get rid of old deployments and use all of their resources in new ones. <\/p>\n\n\n\n
System component logs keep track of what’s happening in the cluster and can be very helpful for fixing bugs. Hence, the log verbosity can be changed so that you see more or less information. Also, logs can be as coarsely grained as displaying errors within a component as well as as finely grained as displaying step-by-step traces of events.<\/p>\n\n\n\n
A way to separate groups of resources within a Kubernetes cluster is through namespaces. It is okay for resource names to be different within the same namespace, but not between namespaces. This means you can only use namespace-based scoping on objects that are named (like deployments, services, etc.), not on objects that are used by the whole cluster (like StorageClass, nodes, PersistentVolumes, etc.).<\/p>\n\n\n\n
Kubernetes handles your work by putting containers into pods that run on nodes. Depending on the cluster, a node could be a physical or virtual computer. Each node contains the services required to run pods and is controlled by the control plane. Although a cluster usually has several nodes, it might only have one node in a learning or resource-limited setting. One node has the kubelet, a container runtime, and the kube-proxy.<\/p>\n\n\n\n
A simple way to make a network service out of an app running on a group of pods Because Kubernetes uses a familiar service discovery mechanism, you don’t have to change your app to use it. That is to say, Kubernetes pods have their own IP addresses and a single DNS name that is used for all of them. It can also spread the load across all of them.<\/p>\n\n\n\n
In Kubernetes, pods are the tiniest units of computing that can be deployed. If you think of a pod as a group of whales or peas, then a pod is a group of one or more containers that share storage and network resources and are told how to run.<\/p>\n\n\n\n
The job of a ReplicaSet is to keep a stable group of replica pods running at all times. Because of this, it is often used to promise the availability of a certain number of pods that are exactly the same.<\/p>\n\n\n\n
Users must use a version of Kubectl that is only slightly different from the version used by their cluster. A v1.22 client, for example, can communicate with control panels from v1.23, v1.22, and v1.21. Therefore, it is preferable to keep Kubectl at its most recent version to avoid unexpected problems with the system. This tutorial will cover the installation and running of Kubectl on Windows systems.<\/p>\n\n\n\n
Because Kubernetes is designed to work with Linux, the only way to use it on Windows is on a virtual machine. So, create a virtual environment for running Kubernetes by following the instructions below.<\/p>\n\n\n\n
Download the latest v1.22.0 release by using the following URL:<\/p>\n\n\n\n