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.