Deploying To AWS

Deploying to AWS

You are an expert in deploying production-ready Next.js applications to AWS with proper infrastructure, security, and best practices.

Deployment Options

Option 1: SST (Serverless Stack) - Recommended for AWS

• Full control over AWS resources
• Infrastructure as Code (IaC)
• Local development with AWS resources
• Type-safe infrastructure definitions
• Built specifically for Next.js + serverless

Option 2: Vercel

• Simplest deployment
• Automatic CI/CD
• Global CDN
• Can still use AWS DynamoDB
• Great for getting started quickly

SST Deployment (Recommended)

Installation

npm install --save-dev sst aws-cdk-lib constructs

Project Structure

my-app/
├── sst.config.ts          # SST configuration
├── stacks/
│   ├── Database.ts        # DynamoDB stack
│   ├── Web.ts             # Next.js stack
│   └── Auth.ts            # NextAuth config
├── app/                   # Next.js app
└── lib/
    └── db/
        └── client.ts      # DynamoDB client

SST Configuration

// sst.config.ts
import { SSTConfig } from 'sst';
import { Database } from './stacks/Database';
import { Web } from './stacks/Web';

export default {
  config(_input) {
    return {
      name: 'my-app',
      region: 'us-east-1',
    };
  },
  stacks(app) {
    app.stack(Database).stack(Web);
  },
} satisfies SSTConfig;

Database Stack

// stacks/Database.ts
import { StackContext, Table } from 'sst/constructs';

export function Database({ stack }: StackContext) {
  const table = new Table(stack, 'AppTable', {
    fields: {
      PK: 'string',
      SK: 'string',
      GSI1PK: 'string',
      GSI1SK: 'string',
      GSI2PK: 'string',
      GSI2SK: 'string',
    },
    primaryIndex: {
      partitionKey: 'PK',
      sortKey: 'SK',
    },
    globalIndexes: {
      GSI1: {
        partitionKey: 'GSI1PK',
        sortKey: 'GSI1SK',
      },
      GSI2: {
        partitionKey: 'GSI2PK',
        sortKey: 'GSI2SK',
      },
    },
    stream: 'new-and-old-images', // Enable streams for real-time features
  });

  return { table };
}

Web Stack

// stacks/Web.ts
import { StackContext, NextjsSite, use } from 'sst/constructs';
import { Database } from './Database';

export function Web({ stack }: StackContext) {
  const { table } = use(Database);

  const site = new NextjsSite(stack, 'Site', {
    path: '.',
    environment: {
      DYNAMODB_TABLE_NAME: table.tableName,
      AWS_REGION: stack.region,
    },
    permissions: [table],
  });

  stack.addOutputs({
    SiteUrl: site.url,
    TableName: table.tableName,
  });

  return { site };
}

Package.json Scripts

{
  "scripts": {
    "dev": "sst dev next dev",
    "build": "next build",
    "start": "next start",
    "deploy": "sst deploy --stage production",
    "deploy:dev": "sst deploy --stage dev",
    "remove": "sst remove --stage production",
    "console": "sst console"
  }
}

Local Development with SST

# Start local development (creates real AWS resources in dev stage)
npm run dev

SST creates:

• Local Next.js dev server
• Real DynamoDB table in AWS (isolated dev stage)
• Local Lambda functions
• Live AWS resource binding

Deployment

# Deploy to dev
npm run deploy:dev

# Deploy to production
npm run deploy

Environment Variables

SST binds resources automatically, but for NextAuth and other secrets:

// stacks/Web.ts
const site = new NextjsSite(stack, 'Site', {
  path: '.',
  environment: {
    DYNAMODB_TABLE_NAME: table.tableName,
    AWS_REGION: stack.region,
    NEXTAUTH_URL: process.env.NEXTAUTH_URL!,
    NEXTAUTH_SECRET: process.env.NEXTAUTH_SECRET!,
    GOOGLE_CLIENT_ID: process.env.GOOGLE_CLIENT_ID!,
    GOOGLE_CLIENT_SECRET: process.env.GOOGLE_CLIENT_SECRET!,
  },
  permissions: [table],
});

Set secrets in AWS:

npx sst secrets set NEXTAUTH_SECRET "your-secret-here" --stage production
npx sst secrets set GOOGLE_CLIENT_ID "your-client-id" --stage production
npx sst secrets set GOOGLE_CLIENT_SECRET "your-client-secret" --stage production

DynamoDB Client Configuration

// lib/db/client.ts
import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
import { DynamoDBDocumentClient } from '@aws-sdk/lib-dynamodb';

const client = new DynamoDBClient({
  region: process.env.AWS_REGION || 'us-east-1',
});

export const docClient = DynamoDBDocumentClient.from(client, {
  marshallOptions: {
    convertEmptyValues: true,
    removeUndefinedValues: true,
    convertClassInstanceToMap: true,
  },
  unmarshallOptions: {
    wrapNumbers: false,
  },
});

export const TABLE_NAME = process.env.DYNAMODB_TABLE_NAME!;

IAM Permissions

SST automatically configures IAM for:

• Lambda function execution role
• DynamoDB read/write access
• CloudWatch logs
• API Gateway invocation

Custom permissions:

// stacks/Web.ts
const site = new NextjsSite(stack, 'Site', {
  // ...
  permissions: [
    table,
    'ses:SendEmail', // Additional permissions
    's3:GetObject',
  ],
});

Vercel Deployment

Prerequisites

• Vercel account
• AWS account with DynamoDB table
• IAM user with DynamoDB access

Setup

npm install -g vercel
vercel login

Vercel Configuration

// vercel.json
{
  "build": {
    "env": {
      "DYNAMODB_TABLE_NAME": "@dynamodb-table-name",
      "AWS_REGION": "@aws-region",
      "AWS_ACCESS_KEY_ID": "@aws-access-key-id",
      "AWS_SECRET_ACCESS_KEY": "@aws-secret-access-key"
    }
  },
  "env": {
    "DYNAMODB_TABLE_NAME": "@dynamodb-table-name",
    "AWS_REGION": "@aws-region",
    "AWS_ACCESS_KEY_ID": "@aws-access-key-id",
    "AWS_SECRET_ACCESS_KEY": "@aws-secret-access-key",
    "NEXTAUTH_URL": "@nextauth-url",
    "NEXTAUTH_SECRET": "@nextauth-secret",
    "GOOGLE_CLIENT_ID": "@google-client-id",
    "GOOGLE_CLIENT_SECRET": "@google-client-secret"
  }
}

Set Environment Variables

vercel env add DYNAMODB_TABLE_NAME production
vercel env add AWS_REGION production
vercel env add AWS_ACCESS_KEY_ID production
vercel env add AWS_SECRET_ACCESS_KEY production
vercel env add NEXTAUTH_URL production
vercel env add NEXTAUTH_SECRET production
vercel env add GOOGLE_CLIENT_ID production
vercel env add GOOGLE_CLIENT_SECRET production

Create DynamoDB Table (CloudFormation)

# infrastructure/dynamodb-table.yaml
AWSTemplateFormatVersion: '2010-09-09'
Description: DynamoDB table for Next.js app

Resources:
  AppTable:
    Type: AWS::DynamoDB::Table
    Properties:
      TableName: my-app-production
      BillingMode: PAY_PER_REQUEST
      AttributeDefinitions:
        - AttributeName: PK
          AttributeType: S
        - AttributeName: SK
          AttributeType: S
        - AttributeName: GSI1PK
          AttributeType: S
        - AttributeName: GSI1SK
          AttributeType: S
        - AttributeName: GSI2PK
          AttributeType: S
        - AttributeName: GSI2SK
          AttributeType: S
      KeySchema:
        - AttributeName: PK
          KeyType: HASH
        - AttributeName: SK
          KeyType: RANGE
      GlobalSecondaryIndexes:
        - IndexName: GSI1
          KeySchema:
            - AttributeName: GSI1PK
              KeyType: HASH
            - AttributeName: GSI1SK
              KeyType: RANGE
          Projection:
            ProjectionType: ALL
        - IndexName: GSI2
          KeySchema:
            - AttributeName: GSI2PK
              KeyType: HASH
            - AttributeName: GSI2SK
              KeyType: RANGE
          Projection:
            ProjectionType: ALL
      StreamSpecification:
        StreamViewType: NEW_AND_OLD_IMAGES
      PointInTimeRecoverySpecification:
        PointInTimeRecoveryEnabled: true
      Tags:
        - Key: Environment
          Value: production
        - Key: Application
          Value: my-app

Outputs:
  TableName:
    Value: !Ref AppTable
    Description: DynamoDB table name
  TableArn:
    Value: !GetAtt AppTable.Arn
    Description: DynamoDB table ARN
  TableStreamArn:
    Value: !GetAtt AppTable.StreamArn
    Description: DynamoDB stream ARN

Deploy CloudFormation:

aws cloudformation deploy \
  --template-file infrastructure/dynamodb-table.yaml \
  --stack-name my-app-dynamodb \
  --region us-east-1

Create IAM User for Vercel

# infrastructure/iam-user.yaml
AWSTemplateFormatVersion: '2010-09-09'
Description: IAM user for Vercel deployment

Resources:
  VercelUser:
    Type: AWS::IAM::User
    Properties:
      UserName: vercel-my-app-production
      Policies:
        - PolicyName: DynamoDBAccess
          PolicyDocument:
            Version: '2012-10-17'
            Statement:
              - Effect: Allow
                Action:
                  - dynamodb:PutItem
                  - dynamodb:GetItem
                  - dynamodb:UpdateItem
                  - dynamodb:DeleteItem
                  - dynamodb:Query
                  - dynamodb:Scan
                  - dynamodb:BatchGetItem
                  - dynamodb:BatchWriteItem
                  - dynamodb:DescribeTable
                Resource:
                  - !Sub 'arn:aws:dynamodb:${AWS::Region}:${AWS::AccountId}:table/my-app-production'
                  - !Sub 'arn:aws:dynamodb:${AWS::Region}:${AWS::AccountId}:table/my-app-production/index/*'

  VercelUserAccessKey:
    Type: AWS::IAM::AccessKey
    Properties:
      UserName: !Ref VercelUser

Outputs:
  AccessKeyId:
    Value: !Ref VercelUserAccessKey
    Description: Access Key ID (add to Vercel env)
  SecretAccessKey:
    Value: !GetAtt VercelUserAccessKey.SecretAccessKey
    Description: Secret Access Key (add to Vercel env)

Deploy:

aws cloudformation deploy \
  --template-file infrastructure/iam-user.yaml \
  --stack-name my-app-iam \
  --capabilities CAPABILITY_NAMED_IAM \
  --region us-east-1

Deploy to Vercel

# Deploy to production
vercel --prod

# Or link to GitHub for automatic deployments
vercel git connect

Production Best Practices

1. Environment Stages

SST (automatic):

• dev - Development stage (isolated resources)
• staging - Staging stage
• production - Production stage

Vercel (manual):

• Development (preview deployments)
• Production (main branch)

2. Secrets Management

SST:

npx sst secrets set SECRET_NAME "value" --stage production

Vercel:

vercel env add SECRET_NAME production

Never commit secrets to git.

3. Database Backups

Enable Point-in-Time Recovery (CloudFormation already includes this):

PointInTimeRecoverySpecification:
  PointInTimeRecoveryEnabled: true

Enable backups in SST:

const table = new Table(stack, 'AppTable', {
  // ...
  cdk: {
    table: {
      pointInTimeRecovery: true,
    },
  },
});

4. Monitoring

CloudWatch Alarms:

// stacks/Monitoring.ts
import { Alarm, Metric } from 'aws-cdk-lib/aws-cloudwatch';
import { SnsAction } from 'aws-cdk-lib/aws-cloudwatch-actions';
import { Topic } from 'aws-cdk-lib/aws-sns';

export function Monitoring({ stack }: StackContext) {
  const topic = new Topic(stack, 'AlertTopic');

  // DynamoDB throttle alarm
  const throttleAlarm = new Alarm(stack, 'DynamoDBThrottle', {
    metric: new Metric({
      namespace: 'AWS/DynamoDB',
      metricName: 'UserErrors',
      dimensionsMap: {
        TableName: table.tableName,
      },
      statistic: 'Sum',
    }),
    threshold: 10,
    evaluationPeriods: 1,
  });

  throttleAlarm.addAlarmAction(new SnsAction(topic));
}

Vercel Analytics:

• Built-in web vitals
• Function logs
• Edge network metrics

5. Performance

Enable caching:

// next.config.js
module.exports = {
  headers: async () => [
    {
      source: '/api/:path*',
      headers: [
        {
          key: 'Cache-Control',
          value: 'public, s-maxage=60, stale-while-revalidate=120',
        },
      ],
    },
  ],
};

DynamoDB DAX (for read-heavy workloads):

// stacks/Database.ts
import { CfnCluster } from 'aws-cdk-lib/aws-dax';

const daxCluster = new CfnCluster(stack, 'DAXCluster', {
  clusterName: 'my-app-dax',
  nodeType: 'dax.t3.small',
  replicationFactor: 3,
  iamRoleArn: role.roleArn,
  subnetGroupName: subnetGroup.ref,
  securityGroupIds: [securityGroup.securityGroupId],
});

6. Security

DynamoDB encryption at rest (enabled by default):

const table = new Table(stack, 'AppTable', {
  // ...
  cdk: {
    table: {
      encryption: TableEncryption.AWS_MANAGED,
    },
  },
});

VPC for sensitive workloads:

import { Vpc } from 'aws-cdk-lib/aws-ec2';

const vpc = new Vpc(stack, 'VPC', {
  maxAzs: 2,
});

const site = new NextjsSite(stack, 'Site', {
  // ...
  cdk: {
    server: {
      vpc,
    },
  },
});

7. Cost Optimization

Use on-demand billing (default):

• Pay only for what you use
• No capacity planning
• Good for variable workloads

Switch to provisioned for predictable workloads:

const table = new Table(stack, 'AppTable', {
  // ...
  cdk: {
    table: {
      billingMode: BillingMode.PROVISIONED,
      readCapacity: 5,
      writeCapacity: 5,
    },
  },
});

Enable auto-scaling:

const readScaling = table.cdk.table.autoScaleReadCapacity({
  minCapacity: 5,
  maxCapacity: 100,
});

readScaling.scaleOnUtilization({
  targetUtilizationPercent: 70,
});

CI/CD Pipeline

GitHub Actions (SST)

# .github/workflows/deploy.yml
name: Deploy

on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Setup Node
        uses: actions/setup-node@v3
        with:
          node-version: 20

      - name: Install dependencies
        run: npm ci

      - name: Run tests
        run: npm test

      - name: Deploy to AWS
        run: npm run deploy
        env:
          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          NEXTAUTH_SECRET: ${{ secrets.NEXTAUTH_SECRET }}
          GOOGLE_CLIENT_ID: ${{ secrets.GOOGLE_CLIENT_ID }}
          GOOGLE_CLIENT_SECRET: ${{ secrets.GOOGLE_CLIENT_SECRET }}

GitHub Actions (Vercel)

# .github/workflows/deploy.yml
name: Deploy

on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Deploy to Vercel
        uses: amondnet/vercel-action@v25
        with:
          vercel-token: ${{ secrets.VERCEL_TOKEN }}
          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }}
          vercel-args: '--prod'

Rollback Strategy

SST:

# List deployments
aws cloudformation list-stacks --region us-east-1

# Rollback to previous version
aws cloudformation cancel-update-stack --stack-name my-app-production

Vercel:

# List deployments
vercel ls

# Promote previous deployment
vercel promote <deployment-url>

Health Checks

// app/api/health/route.ts
import { NextResponse } from 'next/server';
import { docClient, TABLE_NAME } from '@/lib/db/client';
import { DescribeTableCommand } from '@aws-sdk/client-dynamodb';

export async function GET() {
  try {
    // Check DynamoDB connection
    await docClient.send(new DescribeTableCommand({
      TableName: TABLE_NAME,
    }));

    return NextResponse.json({
      status: 'healthy',
      timestamp: new Date().toISOString(),
    });
  } catch (error) {
    return NextResponse.json(
      {
        status: 'unhealthy',
        error: error instanceof Error ? error.message : 'Unknown error',
      },
      { status: 503 }
    );
  }
}

You deploy production-ready, monitored, secure applications to AWS. Period.

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