This is for Provisioning a Rpi2/3/4 K3s cluster using terraform.

Burn image to sd card.

Inject file /boot/ssh to autostart ssh. https://www.raspberrypi.org/documentation/remote-access/ssh/README.md

Create a file terraform.tfvars for easy adding variable defaults. An Example File terraform.example.tfvars is included.

My cluster has the following components:

terraform workspace new rpi4
terraform workspace select rpi4
terraform init
terraform plan -var-file="terraform.rpi4.tfvars"
terraform apply -var-file="terraform.rpi4.tfvars"

terraform workspace new rpi2
terraform workspace select rpi2
terraform init
terraform plan -var-file="terraform.rpi2.tfvars"
terraform apply -var-file="terraform.rpi2.tfvars"

terraform workspace new rpi3
terraform workspace select rpi3
terraform init
terraform plan -var-file="terraform.rpi3.tfvars"
terraform apply -var-file="terraform.rpi3.tfvars"

1. Get kubectl https://kubernetes.io/docs/tasks/tools/install-kubectl/

2. Configuration of kubectl https://kubernetes.io/docs/concepts/configuration/organize-cluster-access-kubeconfig/

3. Test access

   • --kubeconfig flag

     kubectl --kubeconfig kubeconfig get node

   • KUBECONFIG environment variable

     set KUBECONFIG=kubeconfig
     kubectl get node

4. Create Kubernetes Dashboard

   kubectl create -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.0.3/aio/deploy/recommended.yaml
   kubectl create -f dashboard.admin-user.yml -f dashboard.admin-user-role.yml
   kubectl -n kubernetes-dashboard describe secret admin-user-token
   kubectl proxy

5. Login Kubernetes Dashboard
   http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/

https://grafana.com/docs/loki/latest/installation/helm/

helm repo add loki https://grafana.github.io/loki/charts
helm repo update
helm upgrade --install loki --namespace=loki --create-namespace loki/loki-stack  --set grafana.enabled=true,prometheus.enabled=true,prometheus.alertmanager.persistentVolume.enabled=false,prometheus.server.persistentVolume.enabled=false

kubectl get secret --namespace loki loki-grafana -o jsonpath="{.data.admin-password}"
kubectl port-forward --namespace loki service/loki-grafana 3000:80

Navigate to http://localhost:3000 and login with admin and the password output above. Then follow the instructions for adding the Loki Data Source, using the URL http://loki:3100/ for Loki.

helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm repo update
kubectl create namespace monitoring
helm install prometheus --namespace monitoring --debug --values kube-prometheus-stack.values.yml prometheus-community/kube-prometheus-stack