# for some K8s distributions you need to install the Metrics Server
kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm repo update

kubectl create namespace monitoring
helm install kube-prometheus-stack prometheus-community/kube-prometheus-stack --namespace monitoring
helm install prometheus-adapter prometheus-community/prometheus-adapter --namespace monitoring

kubectl apply -f horizontal/php-apache.yaml

kubectl autoscale deployment php-apache --cpu-percent=50 --min=1 --max=10
kubectl apply -f horizontal/hpa.yaml

kubectl get hpa php-apache --watch
kubectl run -i --tty load-generator --rm --image=busybox:1.28 --restart=Never -- /bin/sh -c "while sleep 0.01; do wget -q -O- http://php-apache; done"

kubectl apply -f vertical/hamster.yaml
kubectl apply -f vertical/vpa.yaml
kubectl describe vpa hamster-vpa

helm repo add fairwinds-stable https://charts.fairwinds.com/stable
kubectl create namespace goldilocks
helm install goldilocks --namespace goldilocks fairwinds-stable/goldilocks

kubectl edit service goldilocks-dashboard -n goldilocks
export GOLDILOCKS_IP=`kubectl get service goldilocks-dashboard -n goldilocks -o jsonpath="{.status.loadBalancer.ingress[0].ip}"`

kubectl label ns default goldilocks.fairwinds.com/enabled=true

helm repo add kedacore https://kedacore.github.io/charts
helm repo update
kubectl create namespace keda
helm install keda kedacore/keda --namespace keda

helm repo add bitnami https://charts.bitnami.com/bitnami
helm install rabbitmq --set auth.username=user --set auth.password=PASSWORD bitnami/rabbitmq --wait

kubectl apply -f keda/deploy-consumer.yaml
kubectl get deployments
kubectl get pods -w
kubectl apply -f keda/deploy-publisher-job.yaml

# create GKE cluster using gcloud CLI
gcloud container clusters create gke-k8s-scaling \
    # enable GKE addons such as HPA support
	--addons HttpLoadBalancing,HorizontalPodAutoscaling \
    
    # enable VPA support
	--enable-vertical-pod-autoscaling \

    # enable cluster autoscaling
    # use profile for moderate (Balanced) or aggessive (Optimize-utilization) mode
	--enable-autoscaling \
	--autoscaling-profile=optimize-utilization \
    
    # specify initial node pool size and scaling limits
	--num-nodes=1 \
	--min-nodes=1 --max-nodes=5

# configure Karpenter behaviour
kubectl apply -f karpenter/karpenter.yaml

# add a deployment to demo cluster autoscaling
kubectl apply -f karpenter/inflate.yaml

# to trigger and watch a cluster ScaleUp
kubectl scale deployment inflate --replicas 5
kubectl get pods
kubectl describe pod inflate-644ff677b7-jgw8r
kubectl get events
kubectl get nodes -w

# to trigger and watch a cluster ScaleDown
kubectl scale deployment inflate --replicas 0
kubectl get pods
kubectl get events
kubectl get nodes -w

# deploy Descheduler either as Job, CronJob or Deployment
# either via Helm, Kustomize or plain YAML
kubectl apply -k descheduler/v0.26.1/