-
Create a cluster, mapping the ingress port 80 to localhost:8081
k3d create --api-port 6550 --publish 8081:80 --workers 2
- Note:
--api-port 6550
is not required for the example to work. It's used to havek3s
's ApiServer listening on port 6550 with that port mapped to the host system.
- Note:
-
Get the kubeconfig file
export KUBECONFIG="$(k3d get-kubeconfig --name='k3s-default')"
-
Create a nginx deployment
kubectl create deployment nginx --image=nginx
-
Create a ClusterIP service for it
kubectl create service clusterip nginx --tcp=80:80
-
Create an ingress object for it with
kubectl apply -f
apiVersion: extensions/v1beta1 kind: Ingress metadata: name: nginx annotations: ingress.kubernetes.io/ssl-redirect: "false" spec: rules: - http: paths: - path: / backend: serviceName: nginx servicePort: 80
-
Curl it via localhost
curl localhost:8081/
-
Create a cluster, mapping the port 30080 from worker-0 to localhost:8082
k3d create --publish 8082:30080@k3d-k3s-default-worker-0 --workers 2
- Note: Kubernetes' default NodePort range is
30000-32767
- Note: Kubernetes' default NodePort range is
... (Steps 2 and 3 like above) ...
-
Create a NodePort service for it with
kubectl apply -f
apiVersion: v1 kind: Service metadata: labels: app: nginx name: nginx spec: ports: - name: 80-80 nodePort: 30080 port: 80 protocol: TCP targetPort: 80 selector: app: nginx type: NodePort
-
Curl it via localhost
curl localhost:8082/
This guide takes you through setting up a local insecure (http) registry and integrating it into your workflow so that:
- you can push to the registry from your host
- the cluster managed by k3d can pull from that registry
The registry will be named registry.local
and run on port 5000
.
docker volume create local_registry docker container run -d --name registry.local -v local_registry:/var/lib/registry --restart always -p 5000:5000 registry:2
First we need a place to store the config template: mkdir -p /home/${USER}/.k3d
Create a file named config.toml.tmpl
in /home/${USER}/.k3d
, with following content:
# Original section: no changes [plugins.opt] path = "{{ .NodeConfig.Containerd.Opt }}" [plugins.cri] stream_server_address = "{{ .NodeConfig.AgentConfig.NodeName }}" stream_server_port = "10010" {{- if .IsRunningInUserNS }} disable_cgroup = true disable_apparmor = true restrict_oom_score_adj = true {{ end -}} {{- if .NodeConfig.AgentConfig.PauseImage }} sandbox_image = "{{ .NodeConfig.AgentConfig.PauseImage }}" {{ end -}} {{- if not .NodeConfig.NoFlannel }} [plugins.cri.cni] bin_dir = "{{ .NodeConfig.AgentConfig.CNIBinDir }}" conf_dir = "{{ .NodeConfig.AgentConfig.CNIConfDir }}" {{ end -}} # Added section: additional registries and the endpoints [plugins.cri.registry.mirrors] [plugins.cri.registry.mirrors."registry.local:5000"] endpoint = ["http://registry.local:5000"]
Finally start a cluster with k3d, passing-in the config template:
CLUSTER_NAME=k3s-default
k3d create \
--name ${CLUSTER_NAME} \
--wait 0 \
--auto-restart \
--volume /home/${USER}/.k3d/config.toml.tmpl:/var/lib/rancher/k3s/agent/etc/containerd/config.toml.tmpl
- Connect the registry to the cluster network:
docker network connect k3d-k3s-default registry.local
- Add
127.0.0.1 registry.local
to your/etc/hosts
Push an image to the registry:
docker pull nginx:latest
docker tag nginx:latest registry.local:5000/nginx:latest
docker push registry.local:5000/nginx:latest
Deploy a pod referencing this image to your cluster:
cat <<EOF | kubectl apply -f -
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-test-registry
labels:
app: nginx-test-registry
spec:
replicas: 1
selector:
matchLabels:
app: nginx-test-registry
template:
metadata:
labels:
app: nginx-test-registry
spec:
containers:
- name: nginx-test-registry
image: registry.local:5000/nginx:latest
ports:
- containerPort: 80
EOF
... and check that the pod is running: kubectl get pods -l "app=nginx-test-registry"