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Building a Student REST API with Flask and Docker

  • The article discusses the process of containerizing a Flask-based Student REST API using Docker for portability and consistency.
  • Docker eliminates 'it works on my machine' issues by packaging apps and dependencies in containers for consistent operation.
  • Steps include writing a Dockerfile with multi-stage builds, adding a .dockerignore file, building the image, running the container, and testing the API.
  • Lessons learned include using slim base images, creating non-root users for security, and utilizing makefile targets for efficiency.
  • Common errors encountered include slow build times, missing dependencies like Gunicorn, container conflicts, and Git ignores.
  • Fixes involved checking network speeds, updating requirements.txt, removing conflicting containers/images, and updating Gitignore files.
  • Tips emphasized include rebuilding images after changes, monitoring logs for debugging, cleaning up old resources, and documenting procedures.
  • Future plans include sharing the Docker image on Docker Hub, expanding API endpoints, and enhancing test coverage for reliability.
  • The article aims to help readers navigate the Dockerization process and avoid common pitfalls, ultimately making projects more portable and robust.

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