Vagrantfile, scripts and a yaml collection to deploy a k8s cluster.
Requirements :
- libvirt
- nfsd
- Vagrant
- vagrant-libvirt plugin
This will deploy 3 CentOS 7 virtual machines :
- k1 : Control Pane
- k2 : Compute (node)
- k3 : Compute (node)
You will need 6GB of RAM (2GB per hosts) for the cluster. You can ajust that in
the Vagrantfile (domain.memory = 2048).
Clone this repository :
$ git clone https://github.com/OrioQuezac/k8s_deploy.git
Run vagrant up in k8s_deploy directory :
$ cd k8s_deploy
vagrant up
Check all created pods (you will need kubectl on your host):
$ KUBECONFIG=admin.conf kubectl get pods --all-namespaces
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-64897985d-kkk4b 1/1 Running 0 10m
kube-system coredns-64897985d-rz77s 1/1 Running 0 10m
kube-system etcd-k1 1/1 Running 0 10m
kube-system kube-apiserver-k1 1/1 Running 0 10m
kube-system kube-controller-manager-k1 1/1 Running 0 10m
kube-system kube-flannel-ds-27ql7 1/1 Running 0 10m
kube-system kube-flannel-ds-b9zgf 1/1 Running 0 10m
kube-system kube-flannel-ds-znqmz 1/1 Running 0 10m
kube-system kube-proxy-jqsk7 1/1 Running 0 10m
kube-system kube-proxy-mml2p 1/1 Running 0 10m
kube-system kube-proxy-rvmq2 1/1 Running 0 10m
kube-system kube-scheduler-k1 1/1 Running 0 10m
or, connect to k1 :
$ vagrant ssh k1
[vagrant@k1 ~]$ sudo KUBECONFIG=/etc/kubernetes/admin.conf kubectl get pods --all-namespaces
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-64897985d-kkk4b 1/1 Running 0 13m
kube-system coredns-64897985d-rz77s 1/1 Running 0 13m
kube-system etcd-k1 1/1 Running 0 13m
kube-system kube-apiserver-k1 1/1 Running 0 13m
kube-system kube-controller-manager-k1 1/1 Running 0 13m
kube-system kube-flannel-ds-27ql7 1/1 Running 0 13m
kube-system kube-flannel-ds-b9zgf 1/1 Running 0 13m
kube-system kube-flannel-ds-znqmz 1/1 Running 0 13m
kube-system kube-proxy-jqsk7 1/1 Running 0 13m
kube-system kube-proxy-mml2p 1/1 Running 0 13m
kube-system kube-proxy-rvmq2 1/1 Running 0 13m
kube-system kube-scheduler-k1 1/1 Running 0 13m
Enjoy !
Apply a StorageClass with yaml-collection/sc-slow.yaml :
$ KUBECONFIG=admin.conf kubectl apply -f yaml-collection/sc-slow.yaml
Create directories for PersistentVolumes on each node :
$ for i in {1..3};do vagrant ssh -c 'sudo mkdir /mnt/data{1..6}' k$i; done
Add PersistentVolumes with the template in yaml-collection/pv-data.yaml
$ KUBECONFIG=admin.conf kubectl apply -f yaml-collection/pv-data.yaml
Check if PersistentVolumes are available :
$ KUBECONFIG=admin.conf kubectl get pv
NAME CAPACITY ACCESS MODES RECLAIM POLICY STATUS CLAIM STORAGECLASS REASON AGE
data1-storage 10Gi RWO Delete Available slow 10s
data2-storage 10Gi RWO Delete Available slow 10s
data3-storage 10Gi RWO Delete Available slow 10s
data4-storage 10Gi RWO Delete Available slow 10s
data5-storage 10Gi RWO Delete Available slow 10s
data6-storage 10Gi RWO Delete Available slow 10s
To deploy Kubernetes Dashboard :
$ KUBECONFIG=admin.conf kubectl apply -k yaml-collection/k8s_dashboard
You can expose port's pod with :
$ KUBECONFIG=admin.conf kubectl expose pod $(kubectl get pod -n kubernetes-dashboard --no-headers -o custom-columns=":metadata.name" | grep kubernetes-dashboard) -n kubernetes-dashboard --type=NodePort --name=kubernetes-ui
Get k1 ip :
$ vagrant ssh -c "ip a | grep -A 3 eth0:" k1
Connect to Dashboard with https://<ip-k1>:<exposed-port>
Get token authentication :
$ KUBECONFIG=admin.conf kubectl -n kubernetes-dashboard get secret $(kubectl -n kubernetes-dashboard get sa/admin-user -o jsonpath="{.secrets[0].name}") -o go-template="{{.data.token | base64decode}}"