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Provisioning the Amazon EKS cluster using Terraform

Architecture

image

Steps

1️⃣ Clone the repo first

git clone https://github.com/satyam19arya/K8s_EKS_terraform.git

2️⃣ Run the following commands

cd K8s_EKS_terraform/main
terraform init

3️⃣ Edit below file according to your configuration

vim K8s_EKS_terraform/main/backend.tf
terraform {
  backend "s3" {
    bucket = "BUCKET_NAME"
    key    = "k8s/FILE_NAME_TO_STORE_STATE.tfstate"
    region = "us-east-1"
    dynamodb_table = "dynamoDB_TABLE_NAME"
  }
}

Lets setup the variable for our Infrastructure

Go to K8s_EKS_terraform/main/terraform.tfvars

REGION           = "us-east-1"
PROJECT_NAME     = "Social-Media"
VPC_CIDR         = "172.25.0.0/16"
PUB_SUB_1_A_CIDR = "172.25.1.0/24"
PUB_SUB_2_B_CIDR = "172.25.2.0/24"
PRI_SUB_3_A_CIDR = "172.25.3.0/24"
PRI_SUB_4_B_CIDR = "172.25.4.0/24"

Please take note that the above file is crucial for setting up the infrastructure, so pay close attention to the values you enter for each variable.

Now run the following commands

terraform validate
terraform plan
terraform apply

After creating ECS cluster, run the following commands

aws eks update-kubeconfig --region REGION_NAME --name YOUR-CLUSTER-NAME
aws eks describe-cluster --name "YOUR-CLUSTER-NAME" --region REGION_NAME
kubectl create namespace argocd
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml
kubectl get pods -n argocd
kubectl get svc -n argocd
kubectl patch svc argocd-server -n argocd -p '{"spec": {"type": "LoadBalancer"}}'
kubectl get svc -n argocd
export ARGOCD_SERVER=`kubectl get svc argocd-server -n argocd -o json | jq --raw-output '.status.loadBalancer.ingress[0].hostname'`
export ARGO_PWD=`kubectl -n argocd get secret argocd-initial-admin-secret -o jsonpath="{.data.password}" | base64 -d`
wget https://github.com/argoproj/argo-cd/releases/download/v2.4.14/argocd-linux-amd64
chmod +x argocd-linux-amd64
sudo mv argocd-linux-amd64 /usr/local/bin/argocd
argocd login $ARGOCD_SERVER --username admin --password $ARGO_PWD --insecure
kubectl apply -f argocd.yaml
echo $ARGOCD_SERVER
echo $ARGO_PWD

Helm installation

wget https://get.helm.sh/helm-v3.9.3-linux-amd64.tar.gz
tar xvf helm-v3.9.3-linux-amd64.tar.gz
sudo mv linux-amd64/helm /usr/local/bin
rm helm-v3.9.3-linux-amd64.tar.gz
rm -rf linux-amd64
helm version

For Prometheus setup

kubectl create ns prometheus
helm repo add stable https://charts.helm.sh/stable
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm repo update
helm install stable prometheus-community/kube-prometheus-stack --namespace prometheus
kubectl get all -n prometheus

Now we want to access the Prometheus dashboard on the web so that we can be able to scrape the metrics and we can add them as a Data Source in the Grafana. We need to edit the service file ClusterIP into LoadBalancer so that our Prometheus will be able to run on the web.

kubectl edit svc stable-kube-prometheus-sta-prometheus -n prometheus
kubectl get svc -n prometheus

Finally, You have to take the load balancer URL with port 9090

Testing:

Run the query:

rate(container_cpu_usage_seconds_total{namespace="myapp"}[1m])
image

Grafana setup

kubectl create namespace grafana
helm repo add grafana https://grafana.github.io/helm-charts
helm repo update
helm install grafana grafana/grafana --namespace grafana --set service.type=LoadBalancer
kubectl get svc --namespace grafana -w grafana

To get password

kubectl get secret --namespace grafana grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echo

To setup dashboard: Enter the dashboard id - 15661

Ref: https://grafana.com/grafana/dashboards/