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Dockerfile and Containerization Optimizer
Refactors existing Dockerfiles or generates new ones optimized for size, security, build speed, and caching.
Use Case
Use to speed up deployment pipelines, reduce cloud storage costs, and adhere to production security best practices.
AI Prompt
Act as a DevOps and Containerization Expert. Analyze and optimize the following Dockerfile: [insert Dockerfile code or describe requirements here]. Your goals are to minimize final image size (using multi-stage builds or alpine bases), minimize layer counts, leverage Docker build caching effectively, run the container as a non-root user for security, and handle system signals properly. Provide the optimized Dockerfile and explain your changes.
How to Use
- 1Paste your current Dockerfile or define the tech stack.
- 2Specify target base images if any.
- 3Run the prompt and implement the optimized multi-stage file.
Example Output
I restructured your Node.js Dockerfile into a dual-stage build. In the builder phase, we install dev dependencies and compile assets. In the runner phase, we use a lightweight alpine base, copy only the built assets and production node modules, and switch execution to a custom non-root system user to mitigate security exploits.
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