BudiBadu Logo

Toolbadu

Programming Tools
BudiBadu Logo
Toolbadu

Dockerfile Generator

Generate optimized, production-ready Dockerfile configurations with multi-stage builds, security best practices, and framework-specific optimizations. Perfect for containerizing applications across Node.js, Python, Go, Java, PHP, Ruby, and Rust ecosystems.

Configuration

Features

Dockerfile

# Build stage
FROM node:18-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

# Production stage
FROM node:18-alpine
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/package*.json ./
RUN addgroup -g 1001 -S nodejs && adduser -S nodejs -u 1001
USER nodejs
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
  CMD curl -f http://localhost:3000/health || exit 1
CMD ["npm", "start"]

Quick Presets

Click on any preset below to load a pre-configured Dockerfile:

Docker Containerization Workflow Guide

What This Tool Delivers

Generate optimized, production-ready Dockerfile configurations with multi-stage builds, security hardening, and framework-specific optimizations for Node.js, Python, Go, Java, PHP, Ruby, Rust, C#, C++, and other major programming languages.

Create Docker configurations optimized for both development workflows and automated deployment pipelines with proper caching strategies, health checks, and resource optimization. The generated Dockerfiles are ready for deployment in Kubernetes, Docker Swarm, or standalone environments.

  • Auto-generate Dockerfiles with multi-stage builds and Alpine Linux support
  • Production-ready configurations with security optimizations and health checks
  • Framework-specific optimizations for all major programming languages
  • CI/CD compatible with proper caching and build optimization

Best Practices for Docker

Security Hardening: Use non-root users for application execution, implement least privilege principles, keep base images updated and minimal, and avoid embedding secrets in image layers for secure container deployments.
Performance Optimization: Leverage multi-stage builds for smaller images, order layers by change frequency for better caching, use Alpine or distroless base images, and minimize the number of RUN instructions.
Production Deployment: Tag images with semantic versioning, implement graceful shutdown handling, configure logging and monitoring properly, and test containers in staging environments before production deployment.

Request a Feature

Have an idea to improve this tool? Share your suggestions and help us make it better! (One request per day)

0/1000 characters