KARPENTER Installation updated repo "USE THIS" https://github.com/quickbooks2018/aws-eks-blueprints.git

• https://github.com/quickbooks2018/aws-eks-blueprints.git

https://www.youtube.com/@cloudgeeksca

Backend

S3

Create S3 Bucket with Versioning enabled

aws s3api create-bucket --bucket cloudgeeks-terraform --region us-east-1

aws s3api put-bucket-versioning --bucket cloudgeeks-terraform --versioning-configuration Status=Enabled

Key Pair

if [ -d /root/.ssh ]
then
echo "/root/.ssh exists"
else
mkdir -p /root/.ssh
fi

if [ -f /root/.ssh/*.pem ]
then
echo "pem is there, I am removing it"
rm -f ~/.ssh/*.pem
export SSH_KEY_NAME="terraform-cloudgeeks"
aws ec2 create-key-pair --key-name "${SSH_KEY_NAME}" --query 'KeyMaterial' --output text > ~/.ssh/${SSH_KEY_NAME}.pem
else
echo "All is well, now I am creating fresh PEM"
export SSH_KEY_NAME="terraform-cloudgeeks"
aws ec2 create-key-pair --key-name "${SSH_KEY_NAME}" --query 'KeyMaterial' --output text > ~/.ssh/${SSH_KEY_NAME}.pem
fi

KubeConfig

if [ -d /root/.kube ]
then
echo "/root.kube directory exists"
else
mkdir /root/.kube && touch /root/.kube/config
fi

Source

source EKS.env

Karpenter Logs

kubectl logs -f -n karpenter $(kubectl get pods -n karpenter -l karpenter=controller -o name)

• Create Deployment

kubectl create deployment <Deplyment-Name> --image=<Container-Image>
kubectl create deployment first-deployment --image=quickbooks2018/blue:latest

• Scale Deployment

kubectl scale --replicas=20 deployment/<Deployment-Name>
kubectl scale --replicas=20 deployment/first-deployment 

Metrics Server Installation

kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

Metrics-server

kubectl get deployment metrics-server -n kube-system

kubectl get pods -n kube-system -l k8s-app=metrics-server

Load Testing

1. To create a php-apache deployment, run the following command:

kubectl create deployment php-apache --image=k8s.gcr.io/hpa-example

2. To set the CPU requests, run the following command:

kubectl patch deployment php-apache -p='{"spec":{"template":{"spec":{"containers":[{"name":"hpa-example","resources":{"requests":{"cpu":"200m"}}}]}}}}'

3. To expose the deployment as a service, run the following command:

kubectl create service clusterip php-apache --tcp=80

4. To create an HPA, run the following command:

kubectl autoscale deployment php-apache --cpu-percent=50 --min=1 --max=10

5. To confirm that the HPA was created, run the following command:

kubectl get hpa

 kubectl describe hpa

6. To test a load on the pod in the namespace that you used in step 1, run the following:

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

7. Script:
   

while sleep 0.01; do wget -q -O- http://php-apache; done

8. To see how the HPA scales the pod based on CPU utilization metrics, run the following command (preferably from another terminal window)

kubectl get hpa -w

9. To clean up the resources used for testing the HPA, run the following commands:

kubectl delete hpa,service,deployment php-apache
kubectl delete pod load-generator

• kubectl top

kubectl top --help

kubectl top node

kubectl top pod -A

kubectl top pod --containers -A