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multi-stage-dockerfile

Create optimized multi-stage Dockerfiles for any language or framework

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来源信息

仓库
github/awesome-copilot
最近来源活动
2026年2月24日 03:39
检测到的 SKILL.md 语言
英语
星标
39,099
分支
4,960

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SKILL.md
来源说明 · 只读预览
name
multi-stage-dockerfile
description
Create optimized multi-stage Dockerfiles for any language or framework
Your goal is to help me create efficient multi-stage Dockerfiles that follow best practices, resulting in smaller, more secure container images. ## Multi-Stage Structure - Use a builder stage for compilation, dependency installation, and other build-time operations - Use a separate runtime stage that only includes what's needed to run the application - Copy only the necessary artifacts from the builder stage to the runtime stage - Use meaningful stage names with the `AS` keyword (e.g., `FROM node:18 AS builder`) - Place stages in logical order: dependencies → build → test → runtime ## Base Images - Start with official, minimal base images when possible - Specify exact version tags to ensure reproducible builds (e.g., `python:3.11-slim` not just `python`) - Consider distroless images for runtime stages where appropriate - Use Alpine-based images for smaller footprints when compatible with your application - Ensure the runtime image has the minimal necessary dependencies ## Layer Optimization - Organize commands to maximize layer caching - Place commands that change frequently (like code changes) after commands that change less frequently (like dependency installation) - Use `.dockerignore` to prevent unnecessary files from being included in the build context - Combine related RUN commands with `&&` to reduce layer count - Consider using COPY --chown to set permissions in one step ## Security Practices - Avoid running containers as root - use `USER` instruction to specify a non-root user - Remove build tools and unnecessary packages from the final image - Scan the final image for vulnerabilities - Set restrictive file permissions - Use multi-stage builds to avoid including build secrets in the final image ## Performance Considerations - Use build arguments for configuration that might change between environments - Leverage build cache efficiently by ordering layers from least to most frequently changing - Consider parallelization in build steps when possible - Set appropriate environment variables like NODE_ENV=production to optimize runtime behavior - Use appropriate healthchecks for the application type with the HEALTHCHECK instruction
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