The motivation of this project is to provide a K3s cluster with four nodes fully automatically, which is composed only of always free infrastructure resources. The deployment will be done Terraform and the user-data scripts which installs K3s automatically and build up the cluster.
The cluster infrastructure based on four nodes, two server- and two agent-nodes for your workload. A load balancer which is distributes the traffic to your nodes on port 443. The server-nodes are at the availability domain 2 (AD-2) and the agent node are created in AD-1. The cluster use the storage solution Longhorn, which will use the block storages of the OCI instances and shares the Kubernetes volumes between them. The following diagram give an overview of the infrastructure.
First of all, you need to setup some environment variables which are needed by the OCI Terraform provider. The Oracle Cloud Infrastructure documentation gives a good overview of where the IDs and information are located and also explains how to set up Terraform.
export TF_VAR_compartment_id="<COMPARTMENT_ID>"
export TF_VAR_region="<REGION_NAME>"
export TF_VAR_tenancy_ocid="<TENANCY_OICD>"
export TF_VAR_user_ocid="<USER_OICD>"
export TF_VAR_fingerprint="<RSA_FINGERPRINT>"
export TF_VAR_private_key="<PRIVATE_KEY>"
export TF_VAR_ssh_authorized_keys='["<SSH_PUBLIC_KEY>"]'
The deployment is a straight forwards process. First, start with a Terraform init:
terraform init
Second, you have to create a Terraform plan by this command:
terraform plan -out .tfplan
And last apply the plan:
terraform apply ".tfplan"
After a couple minutes the OCI instances are created and the Cluster is up and running. And are able to connect via SSH to your Server-node-1 to get the kube-config.
scp rancher@<SERVER_NODE_1_PUBLIC_IP>:/etc/rancher/k3s/k3s.yaml ~/.kube/config
Now you can use kubectl to manage your cluster and check the nodes:
kubectl get nodes
Finally, you have to deploy Longhorn the distributed block storage by the following commands of the kubectl or helm method:
Method 1 by kubectl:
kubectl apply -f https://raw.githubusercontent.com/longhorn/longhorn/v1.2.3/deploy/longhorn.yaml
Method 2 by helm:
You can find a shell script with all commands in the services folder which run all the following commands at once.
helm repo add longhorn https://charts.longhorn.io
helm repo update
kubectl create namespace longhorn-system
helm install longhorn longhorn/longhorn --namespace longhorn-system
Additionally, for both methods you have to remove local-path as default provisioner and set Longhorn as default:
kubectl patch storageclass local-path -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"false"}}}'
kubectl patch storageclass longhorn -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"true"}}}'
Check the Longhorn storageclass:
kubectl get storageclass
After a some minutes all pods are in the running state and you can connect to the Longhorn UI by forwarding the port to your machine:
kubectl port-forward deployment/longhorn-ui 8000:8000 -n longhorn-system
Use this URL to access the interface: http://127.0.0.1:8000 .
For propagating your services, it is strongly recommended to use SSL encryption. In this case you have to deploy certificates for all of your services which should be reachable at the internet. To fulfill this requirement you can use the cert-manager deployment in the services\cert-manager folder.
First, you have to execute the cert-manager.sh or the following commands:
helm repo add jetstack https://charts.jetstack.io
helm repo update
helm install \
cert-manager jetstack/cert-manager \
--namespace cert-manager \
--create-namespace \
--version v1.7.1 \
--set installCRDs=true
Second, add a cluster issuer by editing and deploy cluster_issuer.yamlfile by replacing it with your email address and your domain:
...
spec:
acme:
email: <your_email>@<your-domain>.<tld> # replace
...
Finally, when you deploy a service you have to add an ingress resource. You can use the example file ingress_example.yaml and edit it for your service:
...
spec:
rules:
- host: <subdomain>.<your-domain>.<tld> # replace
http:
paths:
- path: /
backend:
serviceName: <service-name> # replace
servicePort: 80
tls:
- hosts:
- <subdomain>.<your-domain>.<tld> # replace
secretName: <subdomain>-<your-domain>-<tld>-prod-tls # replace
...
The last step needs to be done for every service. In this deployment step the cert-manager will handle the communication to Let's Encrypt and add the certificate to your service ingress resource.
- Terraform Load Balancer deployment
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