three-tier-eks-iac

Prerequisite

Install Kubectl https://kubernetes.io/docs/tasks/tools/

Install Helm https://helm.sh/docs/intro/install/

helm repo update

Install/update latest AWS CLI: (make sure install v2 only) https://aws.amazon.com/cli/

Refer to below Youtube Video Tutorial

#update the Kubernetes context aws eks update-kubeconfig --name my-eks-cluster --region us-west-2

verify access:

kubectl auth can-i "*" "*"
kubectl get nodes

Verify autoscaler running:

kubectl get pods -n kube-system

Check Autoscaler logs

kubectl logs -f \
  -n kube-system \
  -l app=cluster-autoscaler

Check load balancer logs

kubectl logs -f -n kube-system \
  -l app.kubernetes.io/name=aws-load-balancer-controller

Buid Docker image :

For Mac:

export DOCKER_CLI_EXPERIMENTAL=enabled
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin public.ecr.aws/w8u5e4v2

Buid Front End :

docker buildx build --platform linux/amd64 -t workshop-frontend:v1 . 
docker tag workshop-frontend:v1 public.ecr.aws/w8u5e4v2/workshop-frontend:v1
docker push public.ecr.aws/w8u5e4v2/workshop-frontend:v1

Buid Back End :

docker buildx build --platform linux/amd64 -t workshop-backend:v1 . 
docker tag workshop-backend:v1 public.ecr.aws/w8u5e4v2/workshop-backend:v1
docker push public.ecr.aws/w8u5e4v2/workshop-backend:v1

For Linux/Windows:

Buid Front End :

docker build -t workshop-frontend:v1 . 
docker tag workshop-frontend:v1 public.ecr.aws/w8u5e4v2/workshop-frontend:v1
docker push public.ecr.aws/w8u5e4v2/workshop-frontend:v1

Buid Back End :

docker build -t workshop-backend:v1 . 
docker tag workshop-backend:v1 public.ecr.aws/w8u5e4v2/workshop-backend:v1
docker push public.ecr.aws/w8u5e4v2/workshop-backend:v1

Update Kubeconfig Syntax: aws eks update-kubeconfig --region region-code --name your-cluster-name

aws eks update-kubeconfig --region us-west-2 --name my-eks-cluster

Create Namespace

kubectl create ns workshop

kubectl config set-context --current --namespace workshop

MongoDB Database Setup

To create MongoDB Resources

cd k8s_manifests/mongo_v1
kubectl apply -f secrets.yaml
kubectl apply -f deploy.yaml
kubectl apply -f service.yaml

Backend API Setup

Create NodeJs API deployment by running the following command:

kubectl apply -f backend-deployment.yaml
kubectl apply -f backend-service.yaml

Frontend setup

Create the Frontend resource. In the terminal run the following command:

kubectl apply -f frontend-deployment.yaml
kubectl apply -f frontend-service.yaml

Finally create the final load balancer to allow internet traffic:

kubectl apply -f full_stack_lb.yaml

Any issue with the pods ? check logs:

kubectl logs -f POD_ID -f

Grafana setup

Verify Services

kubectl get svc -n prometheus

edit the Prometheus-grafana service:

kubectl edit svc prometheus-grafana -n prometheus

change ‘type: ClusterIP’ to 'LoadBalancer'

Username: admin Password: prom-operator

Import Dashboard ID: 1860

Exlore more at: https://grafana.com/grafana/dashboards/

Destroy Kubernetes resources and cluster

cd ./k8s_manifests
kubectl delete -f -f

Remove AWS Resources to stop billing

cd terraform
terraform destroy --auto-approve

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