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Docker Deployment for Antigravity

Docker Deployment for Antigravity

Deploy Next.js applications with Docker in Google Antigravity including multi-stage builds and orchestration

DockerDeploymentDevOpsContainersNext.js
by Antigravity Team
⭐0Stars
.antigravity
# Docker Deployment for Google Antigravity

Docker enables consistent deployments across environments. This guide establishes patterns for containerizing Next.js applications with Google Antigravity.

## Multi-Stage Dockerfile

```dockerfile
# Base stage
FROM node:20-alpine AS base
WORKDIR /app

# Dependencies stage
FROM base AS deps
COPY package.json package-lock.json ./
RUN npm ci --only=production

# Build stage
FROM base AS builder
COPY --from=deps /app/node_modules ./node_modules
COPY . .
ENV NEXT_TELEMETRY_DISABLED 1
RUN npm run build

# Production stage
FROM base AS runner
ENV NODE_ENV production
ENV NEXT_TELEMETRY_DISABLED 1

RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs

COPY --from=builder /app/public ./public
COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static

USER nextjs
EXPOSE 3000
ENV PORT 3000
CMD ["node", "server.js"]
```

## Docker Compose

```yaml
version: "3.8"
services:
  app:
    build: .
    ports:
      - "3000:3000"
    environment:
      - DATABASE_URL=${DATABASE_URL}
      - NEXTAUTH_SECRET=${NEXTAUTH_SECRET}
    depends_on:
      - db
      - redis

  db:
    image: postgres:15-alpine
    volumes:
      - postgres_data:/var/lib/postgresql/data
    environment:
      - POSTGRES_PASSWORD=${DB_PASSWORD}

  redis:
    image: redis:alpine
    volumes:
      - redis_data:/data

volumes:
  postgres_data:
  redis_data:
```

## Best Practices

1. **Multi-stage builds**: Minimize image size
2. **Non-root user**: Run as non-privileged user
3. **Layer caching**: Order commands for cache efficiency
4. **Health checks**: Add container health checks
5. **Environment variables**: Use secrets management

When to Use This Prompt

This Docker prompt is ideal for developers working on:

  • Docker applications requiring modern best practices and optimal performance
  • Projects that need production-ready Docker code with proper error handling
  • Teams looking to standardize their docker development workflow
  • Developers wanting to learn industry-standard Docker patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their docker implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the Docker code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this Docker prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For Docker projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

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