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Docker Multi-Stage Builds Explained

Optimize Docker images with multi-stage builds. From build stages to caching to production-ready images.

B
Bootspring Team
Engineering
August 20, 2022
5 min read

Multi-stage builds create smaller, more secure Docker images. Here's how to use them effectively.

Why Multi-Stage Builds

Single-stage problems: - Build tools in production image - Large image sizes - Security vulnerabilities from dev dependencies - Slow deployments Multi-stage benefits: - Separate build and runtime - Smaller final images - No build tools in production - Better security posture

Basic Multi-Stage Build

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TypeScript Application

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Next.js Application

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Go Application

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Python Application

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Optimizing Layer Caching

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Using Build Arguments

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Testing Stage

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Size Comparison

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Best Practices

Structure: ✓ Use specific base image tags ✓ Order layers by change frequency ✓ Minimize layer count ✓ Use .dockerignore Security: ✓ Run as non-root user ✓ Don't include secrets in image ✓ Scan images for vulnerabilities ✓ Use minimal base images Performance: ✓ Leverage build cache ✓ Use --mount=type=cache for package managers ✓ Parallelize independent stages ✓ Clean up in same layer as install

Conclusion

Multi-stage builds separate build-time dependencies from runtime, resulting in smaller, more secure images. Structure Dockerfiles to maximize cache hits, use Alpine or distroless base images, and always run as non-root in production.

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