JRIO At Scale : kubectl commands to create Metrics Server and Dashboards

To create JRIO At Scale and monitor the pods, several commands need to be executed.

Refer to the official documentation for detailed installation steps: https://docs.tibco.com/pub/js-jrio-at-scale/4.0.0/doc/pdf/js-jrio-at-scale_4.0.0_user-guide.pdf

The dashboard-adminuser.yaml and dashboard-adminuser-clusterrolebinding.yaml files are attached. Please modify them according to your needs.

For the installation of the Metrics Server, execute the following kubectl commands:

kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml
helm repo add kubernetes-dashboard https://kubernetes.github.io/dashboard/
helm upgrade --install kubernetes-dashboard kubernetes-dashboard/kubernetes-dashboard --create-namespace --namespace kubernetes-dashboard
kubectl apply -f dashboard-adminuser.yaml
kubectl apply -f dashboard-adminuser-clusterrolebinding.yaml
kubectl -n kubernetes-dashboard port-forward svc/kubernetes-dashboard-kong-proxy 8443:443
kubectl -n kubernetes-dashboard create token admin-user

Once the JRIO containers are running in pods, configure the Horizontal Pod Autoscaler using the command below. Please modify the command as per your requirement:
kubectl autoscale deployment jrio-reporting --cpu-percent=50 --min=1 --max=2

Ensure the JRIO REST Load Balancer endpoint is accessible only within the VPC, restricting public access.

dashboard-adminuser.yaml dashboard-adminuser-clusterrolebinding.yaml