Created Temp Code for k8s manifests + gh action to apply manifests

.github/workflows/manual_terraform.yml

@@ -1,16 +1,16 @@
-name: 'Manual Terraform Deployment'
+name: "Manual Terraform Deployment"
 
 on:
   workflow_dispatch:
     inputs:
       environment:
-        description: 'Target environment'
+        description: "Target environment"
         required: true
-        default: 'dev'
+        default: "dev"
 
 jobs:
   terraform:
-    name: 'Deploy to Environment'
+    name: "Deploy to Environment"
     runs-on: ubuntu-latest
     environment:
       name: ${{ github.event.inputs.environment }}
@@ -27,7 +27,7 @@ jobs:
 
       - name: Install Terraform
         uses: hashicorp/setup-terraform@v1
-    
+
       - name: Decode GCP Credentials
         run: |
           echo '${{ secrets.GCP_SA_KEY_BASE64 }}' | base64 -d > ${{ github.workspace }}/cloud-infra/automateml-3f20c67d2a0a.json
@@ -40,7 +40,6 @@ jobs:
           terraform init
           terraform plan -out=tfplan
 
-
       - name: Hold for approval
         if: github.event_name == 'workflow_dispatch'
         uses: softprops/turnstyle@v1
@@ -55,3 +54,18 @@ jobs:
         if: github.event_name == 'workflow_dispatch'
         run: |
           terraform apply tfplan
+
+      # - name: Set up Google Cloud
+      #   uses: google-github-actions/setup-gcloud@master
+      #   with:
+      #     service_account_key: ${{ secrets.GCP_SA_KEY }}
+      #     export_default_credentials: true
+
+      # - name: Get GKE credentials
+      #   run: |
+      #     gcloud container clusters get-credentials automl-cluster --region us-east1 --project automateml
+
+      # # Now you can use kubectl to interact with your GKE cluster
+      # - name: Deploy to GKE
+      #   run: |
+      #     kubectl apply -f cloud-infra/k8s/

cloud-infra/k8s/frontend-deployment.yaml

@@ -0,0 +1,21 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: frontend-deployment
+  labels:
+    app: frontend
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: frontend
+  template:
+    metadata:
+      labels:
+        app: frontend
+    spec:
+      containers:
+      - name: frontend
+        image: your-frontend-image:latest
+        ports:
+        - containerPort: 80

cloud-infra/k8s/frontend-service.yaml

@@ -0,0 +1,12 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: frontend-service
+spec:
+  selector:
+    app: frontend
+  ports:
+    - protocol: TCP
+      port: 80
+      targetPort: 80
+  type: LoadBalancer

cloud-infra/k8s/ml-deployment.yaml

@@ -0,0 +1,21 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: ml-deployment
+  labels:
+    app: ml
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: ml
+  template:
+    metadata:
+      labels:
+        app: ml
+    spec:
+      containers:
+      - name: ml
+        image: your-ml-image:latest
+        ports:
+        - containerPort: 5000