docker-split-service

A two-stage Docker build separates dependency installation from application code using a heavy Dockerfile.deps and a lightweight Dockerfile.app. This pattern is needed when you want deterministic image tagging, faster rebuilds, and reliable service deployment across research projects.

Standardize docker-compose workflows by enforcing consistent repository layouts, entrypoint conventions, and env-driven configuration. This approach provides a repeatable docker-compose workflow that works predictably for both local development and production service deployment.

Yes, the two-stage Docker build pattern is framework-agnostic and includes a PyTorch-oriented example. It applies to creating or refactoring Dockerized services across research projects, ensuring per-axis version pins and deterministic image tagging regardless of the framework used.

Structure your Docker build by creating a heavy Dockerfile.deps for dependencies and a lightweight Dockerfile.app for application code. This separation enables faster rebuilds, deterministic image tagging, and consistent entrypoint conventions across container orchestration workflows.

Dockerized service deployment often fails due to inconsistent repository layouts and non-standard entrypoint conventions. Enforcing a canonical two-stage Docker build pattern with consistent docker-compose integration and env-driven configuration solves these reliability issues across projects.

Yes, the canonical two-stage Docker build pattern applies to both creating new services and safely refactoring existing Dockerized services. It enforces standardized docker-compose layouts and entrypoint conventions to ensure reliable deployment during service refactoring.