Use Kind to quickly create local clusters

Jane interface

Kind is another Kubernetes SIG project, but it is very different from Minikube. It can migrate clusters to Docker containers, which is much faster to start than generating virtual machines. In short, Kind is a tool that uses Docker container nodes to run local Kubernetes clusters (CLI).

Next, let’s get started!

preparation

To successfully complete this tutorial, you need to have the following programs ready on your local system:

Go
Docker service to run

Ann is installed

Use the following command to download and install the KIND binaries:

GO111MODULE = "on" go get sigs. K8s. IO/[email protected]Copy the code

Make sure the KIND binary exists

> kind version
kind v0.8.1 go1.14.2 darwin/amd64
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We should now be able to start a Kubernetes cluster using kind CLI:

Usage:
  kind [command]Available Commands:
  build       Build one of [node-image]
  completion  Output shell completion code for the specified shell
  create      Creates one of [cluster]
  delete      Deletes one of [cluster]
  export      Exports one of [kubeconfig, logs]
  get         Gets one of [clusters, nodes, kubeconfig]
  help        Help about any command
  load        Loads images into nodes
  version     Prints the kind CLI version
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In this article, we will focus on the create, get, and DELETE commands.

Creating a cluster

To create a cluster, run the following command:

kind create cluster

> kind create cluster Creating cluster "kind" ... ✓ Ensuring node image (Kindest /node:v1.18.2) 🖼 Preparing nodes 📦 ✓ Writing configuration 📜 ✓ Starting control-plane 🕹️ ✓ Installing CNI 🔌 ✓ Installing StorageClass 💾 Set kubectl context to "kind-kind" You can now use your cluster with:kubectl cluster-info --context kind-kind Have a nice day! 👋Copy the code

A Kubernetes cluster will be created by pulling the latest Kubernetes node (V 1.18.2). We have just created a Kubernetes cluster with v 1.18.2.

If we do not have the –name parameter during cluster creation, the cluster name will be set to KIND by default.

Create a K8S cluster for a specific version

We can deploy a particular version of the Kubernetes cluster by passing the –image parameter.

The following command is used:

Kind create cluster --image Kindest /node:v1.15.6

Creating cluster "kind" ... ✓ Ensuring node image (Kindest /node:v1.15.6) 🖼 Preparing nodes 📦 ✓ Writing configuration 📜 ✓ Starting control-plane 🕹️ ✓ Installing CNI 🔌 ✓ Installing StorageClass 💾 Set kubectl context to "kind-kind" You can now use your cluster with:kubectl cluster-info --context kind-kind Have a nice day! 👋Copy the code

Lists the deployed clusters

Enter the command kind get Clusters

> kind get clusters
kind
kind-1.15.6
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This should list the two clusters we created earlier with different VERSIONS of K8S.

Set the context for Kubectl

After the cluster is created, Kubectl points to the recently created K8S cluster.

Let’s examine all the available contexts.

> kubectl config get-context CURRENT NAME CLUSTER kind-kind kind-1.15.6 kind-kind-1.15.6Copy the code

From the output, we can conclude that the Kubectl context is currently set to the latest cluster, kind-1.15.6. (Context names are prefixed with kind)

To set the kubectl context to a KIND cluster with version 1.18.2, we need to do the following:

> kubectl config set-context kind-kind 
Context "kind-kind" modified.
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To verify that Kubectl points to the correct cluster, we need to check the nodes:

> kubectl get nodes
NAME                        STATUS   ROLES    AGE     VERSION
kind-1.18.2-control-plane   Ready    master   8m20s   v1.18.2
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Deleting a Cluster

To delete a particular cluster, you can pass the cluster name to the delete command in the –name parameter.

Run the kind delete cluster –name kind command

> kind delete cluster --name kind
Deleting cluster "kind" ...
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Deleting all Clusters

If you want to delete all clusters at once, run:

Kind delete clusters - all

> kind delete clusters --all
Deleted clusters: ["kind-1.15.6"]
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What’s kind’s advantage?

Kind (Kubernetes in Docker) is a Kubernetes cluster tool built on Docker. It is CNCF certified and supports multi-node clusters, including high availability clusters. And support Linux, macOS and Windows operating system, simple operation, low learning cost, very suitable for local construction based on Kubernetes development/testing environment.