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docker pull nginx docker run -d -p 8080:80 --name my-nginx nginx # Verify: open http://localhost:8080

FROM node:18-alpine WORKDIR /app COPY package*.json ./ RUN npm install COPY . . EXPOSE 3000 CMD ["node", "index.js"]

docker build -t my-node-app . docker run -p 3000:3000 my-node-app

apiVersion: apps/v1 kind: Deployment metadata: name: nginx-deploy spec: replicas: 2 selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: nginx image: nginx:latest ports: - containerPort: 80

kubectl apply -f nginx-deploy.yaml kubectl get pods kubectl expose deploy nginx-deploy --port=80 --type=ClusterIP

pipeline { agent any stages { stage('Checkout') { steps { git 'https://github.com/yourrepo/app' } } stage('Test') { steps { sh 'npm install && npm test' } } stage('Docker Build') { steps { sh 'docker build -t yourname/app:${BUILD_NUMBER} .' } } stage('Docker Push') { steps { withCredentials([usernamePassword(credentialsId:'docker-hub', usernameVariable:'USER', passwordVariable:'PASS')]) { sh 'docker login -u $USER -p $PASS' sh 'docker push yourname/app:${BUILD_NUMBER}' } } } } }

provider "aws" { region = "ap-south-1" } resource "aws_instance" "web" { ami = "ami-0f5ee92e2d63afc18" instance_type = "t2.micro" key_name = "my-key" tags = { Name = "MindverseAI-Lab" } }

terraform init terraform plan terraform apply

# Create index PUT /products # Index documents POST /products/_doc/1 { "name": "Laptop", "brand": "Dell", "price": 55000 } POST /products/_doc/2 { "name": "Wireless Mouse", "brand": "Logitech", "price": 1500 } # Search GET /products/_search { "query": { "match": { "name": "laptop" } } }