Comparing Docker Build Strategies for Modern Applications

Docker has revolutionized how we package and distribute applications, but the way we build Docker images can significantly impact their performance, size, and security. In this article, we'll explore and compare different Docker build strategies to help you choose the best approach for your specific use case.

As Docker has evolved, so have the techniques for creating optimized images. Let's dive into the most common build approaches and evaluate them across various dimensions.

The Evolution of Docker Build Strategies

Docker image building has evolved significantly since its introduction. Early adopters typically used simple, single-stage Dockerfiles, but as applications became more complex and organizations demanded more efficiency, build strategies have become more sophisticated.

Today, we have several approaches to building Docker images, each with its own strengths and weaknesses. Let's examine them:

1. Traditional Single-stage Builds

Basic

This is the simplest approach, where all instructions are in a single Dockerfile stage. Everything needed for both building and running the application remains in the final image.

FROM node:18
WORKDIR /app
COPY . .
RUN npm install
RUN npm run build
EXPOSE 3000
CMD ["npm", "start"]

Pros: Simple to understand and implement, especially for beginners.

Cons: Results in larger images that include build tools and dependencies, potentially increasing security vulnerabilities and deployment times.

2. Multi-stage Builds

Recommended

Introduced in Docker 17.05, multi-stage builds allow you to use multiple FROM statements in your Dockerfile. Each FROM instruction begins a new stage of the build, and you can selectively copy artifacts from one stage to another.

FROM node:18 AS build
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build

FROM node:18-alpine
WORKDIR /app
COPY --from=build /app/dist /app/dist
COPY --from=build /app/package*.json ./
RUN npm install --only=production
EXPOSE 3000
CMD ["npm", "start"]

Pros: Creates smaller, more secure images by excluding build tools and development dependencies. Simplifies CI/CD pipelines by encapsulating the build process in the Dockerfile.

Cons: More complex to write and understand than single-stage builds. May still include unnecessary files if not carefully designed.

3. BuildKit-powered Builds

Advanced

BuildKit is a new build engine introduced in Docker 18.09, offering improved performance, storage management, and features like advanced cache control and parallel processing.

# syntax = docker/dockerfile:1.4
FROM node:18 AS deps
WORKDIR /app
COPY package*.json ./
RUN --mount=type=cache,target=/root/.npm \
    npm install

FROM node:18 AS builder
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
RUN npm run build

FROM node:18-alpine AS runner
WORKDIR /app
ENV NODE_ENV production
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/package*.json ./
RUN npm install --only=production
EXPOSE 3000
CMD ["npm", "start"]

Pros: Offers advanced caching mechanisms, faster build times, parallel execution, and secret mounting. Creates highly optimized images.

Cons: Requires BuildKit to be enabled. More complex syntax and features can be challenging for beginners.

4. External Build Tools

Specialized

This approach uses tools like docker-slim, jib, or ko to build optimized Docker images outside of the standard Docker build process.

Pros: Can create extremely optimized images specific to certain languages or frameworks. Some tools offer automatic security scanning and optimization.

Cons: Requires learning an additional tool. May not integrate as well with standard Docker workflows. Often language or framework-specific.

Comparative Analysis

Let's compare these approaches across several important dimensions:

Approach Image Size Build Time Security Ease of Use CI/CD Integration
Single-stage ★☆☆ ★★☆ ★☆☆ ★★★ ★★★
Multi-stage ★★★ ★★☆ ★★★ ★★☆ ★★★
BuildKit ★★★ ★★★ ★★★ ★☆☆ ★★☆
External Tools ★★★ ★★☆ ★★★ ★☆☆ ★☆☆

Real-world Impact: Case Studies

E-commerce Platform

A large e-commerce company switched from single-stage to multi-stage builds for their microservices architecture:

  • Image size reduction: 62% (from 1.2GB to 450MB per service)
  • Deployment time reduction: 40%
  • Security vulnerabilities reduced by 35%

Fintech Application

A financial technology company implemented BuildKit for their CI/CD pipeline:

  • Build time reduction: 70% (from 15 minutes to 4.5 minutes)
  • Cache hit rate increased to 85% (from 40% with standard Docker builds)
  • Developer productivity increased by 25%

Choosing the Right Approach for Your Needs

The best Docker build strategy depends on your specific requirements and constraints:

Use Single-stage Builds When:

  • You're just getting started with Docker and want to understand the basics
  • You're building simple applications with minimal dependencies
  • Image size and build performance aren't critical factors

Use Multi-stage Builds When:

  • You need to reduce image size for faster deployments
  • Security is important (reducing the attack surface)
  • You want to standardize build processes across teams
  • You want to balance optimization with ease of use

Use BuildKit When:

  • Build performance is critical (large codebases, many services)
  • You need advanced features like secrets management
  • Parallel builds would provide significant time savings
  • You have teams experienced with Docker who can leverage advanced features

Use External Tools When:

  • You have specialized requirements for a specific language or framework
  • You need extreme optimization beyond what Docker natively offers
  • Your team is willing to learn and integrate additional tools

Recommended Build Strategy Progression

For most teams, we recommend a progression that evolves with your Docker expertise:

  1. Start with single-stage builds to understand the basics of Docker
  2. Move to multi-stage builds once you're comfortable with Docker and need to optimize your images
  3. Adopt BuildKit features incrementally as your needs grow and your team becomes more experienced
  4. Consider specialized tools only when you have specific requirements that Docker can't meet natively

Conclusion

Docker build strategies have come a long way from simple single-stage Dockerfiles. Multi-stage builds offer an excellent balance of optimization and usability for most use cases, while BuildKit and specialized tools provide advanced features for specific needs.

Remember that the best approach is the one that meets your specific requirements for image size, build time, security, and ease of use. As your Docker expertise grows, don't hesitate to evolve your build strategy to take advantage of more advanced techniques.

At DockerBuild.com, we generally recommend multi-stage builds as the standard approach for most production applications, with BuildKit features adopted incrementally as teams become more experienced with Docker.

Share this article

Related Articles

Security Best Practices for Docker Images

Apr 20, 2025

Discover essential security practices for building Docker images, including vulnerability scanning and using minimal base images.

5 Advanced Docker Caching Techniques

May 10, 2025

Learn how to optimize your Docker builds with advanced caching techniques that can significantly reduce build times.

Case Study: Optimizing Build Pipelines for Microservices

Apr 28, 2025

Learn how a large financial company reduced their build times by 70% and image sizes by 45% by implementing advanced Docker build techniques.

Comments

Comments system placeholder. In a real implementation, this would be integrated with a third-party comments system or custom solution.