k3d
k3d
is a lightweight wrapper to run k3s
(Rancher Lab’s minimal Kubernetes distribution) in docker.
k3d
makes it very easy to create single- and multi-node k3s
clusters in docker, e.g. for local development on Kubernetes.
Prerequisites
- To use
k3d
, you will also need to install docker. - Install the latest version of
k3d
. - To interact with the Kubernetes cluster kubectl
- (Optional) Helm is the package manager for Kubernetes
Installation
Create a cluster and disable
Traefik
with the following command:$ k3d cluster create --api-port 6550 -p "9080:80@loadbalancer" -p "9443:443@loadbalancer" --agents 2 --k3s-arg '--disable=traefik@server:*'
To see the list of
k3d
clusters, use the following command:$ k3d cluster list k3s-default
To list the local Kubernetes contexts, use the following command.
$ kubectl config get-contexts CURRENT NAME CLUSTER AUTHINFO NAMESPACE * k3d-k3s-default k3d-k3s-default k3d-k3s-default
If you run multiple clusters, you need to choose which cluster
kubectl
talks to. You can set a default cluster forkubectl
by setting the current context in the Kubernetes kubeconfig file. Additionally you can run following command to set the current context forkubectl
.$ kubectl config use-context k3d-k3s-default Switched to context "k3d-k3s-default".
Set up Istio for k3d
Once you are done setting up a
k3d
cluster, you can proceed to install Istio with Helm 3 on it.$ kubectl create namespace istio-system $ helm install istio-base istio/base -n istio-system --wait $ helm install istiod istio/istiod -n istio-system --wait
(Optional) Install an ingress gateway:
$ kubectl label namespace istio-system istio-injection=enabled $ helm install istio-ingressgateway istio/gateway -n istio-system --wait
Set up Dashboard UI for k3d
k3d
does not have a built in Dashboard UI like minikube. But you can still set up Dashboard, a web based Kubernetes UI, to view your cluster.
Follow these instructions to set up Dashboard for k3d
.
To deploy Dashboard, run the following command:
$ GITHUB_URL=https://github.com/kubernetes/dashboard/releases $ VERSION_KUBE_DASHBOARD=$(curl -w '%{url_effective}' -I -L -s -S ${GITHUB_URL}/latest -o /dev/null | sed -e 's|.*/||') $ kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/${VERSION_KUBE_DASHBOARD}/aio/deploy/recommended.yaml
Verify that Dashboard is deployed and running.
$ kubectl get pod -n kubernetes-dashboard NAME READY STATUS RESTARTS AGE dashboard-metrics-scraper-8c47d4b5d-dd2ks 1/1 Running 0 25s kubernetes-dashboard-67bd8fc546-4xfmm 1/1 Running 0 25s
Create a
ServiceAccount
andClusterRoleBinding
to provide admin access to the newly created cluster.$ kubectl create serviceaccount -n kubernetes-dashboard admin-user $ kubectl create clusterrolebinding -n kubernetes-dashboard admin-user --clusterrole cluster-admin --serviceaccount=kubernetes-dashboard:admin-user
To log in to your Dashboard, you need a Bearer Token. Use the following command to store the token in a variable.
$ token=$(kubectl -n kubernetes-dashboard create token admin-user)
Display the token using the
echo
command and copy it to use for logging in to your Dashboard.$ echo $token
You can access your Dashboard using the kubectl command-line tool by running the following command:
$ kubectl proxy Starting to serve on 127.0.0.1:8001
Click Kubernetes Dashboard to view your deployments and services.
Uninstall
When you are done experimenting and you want to delete the existing cluster, use the following command:
$ k3d cluster delete k3s-default Deleting cluster "k3s-default" ...