✨ Feature Description
Add full Docker support to the GPS_Tracker project, including containerization for the backend, frontend, and MongoDB database using Docker and Docker Compose.
🤔 Problem It Solves
Currently, setting up the project requires manually installing dependencies, configuring environment variables, and running multiple services locally. This leads to:
-
Environment inconsistencies across machines
-
Onboarding friction for new contributors
-
Difficult and error-prone deployment setup
Dockerization provides a consistent, repeatable, and production-ready environment for development and deployment.
💡 Proposed Solution
Introduce Docker configuration files to containerize the entire application:
-
A Dockerfile for the backend
-
A multi-stage Dockerfile for the frontend
-
A docker-compose.yml to orchestrate frontend, backend, and MongoDB
-
A Docker.md file documenting setup, build, and run instructions
This allows the entire project to be started with a single command:
docker compose up --build
🔄 Alternatives Considered
-
Running backend and frontend separately without containers
-
Using local MongoDB installations per developer
-
Platform-specific deployment scripts
These approaches were rejected due to higher setup complexity and lack of environment consistency.
📌 Additional Context
-
The Docker setup is production-ready and suitable for cloud platforms like AWS, Render, Railway, or Fly.io
-
MongoDB uses a persistent Docker volume for data storage
-
Frontend is served via Nginx for better performance
-
CORS and environment variables are configured to work correctly in Docker
✨ Feature Description
Add full Docker support to the GPS_Tracker project, including containerization for the backend, frontend, and MongoDB database using Docker and Docker Compose.
🤔 Problem It Solves
Currently, setting up the project requires manually installing dependencies, configuring environment variables, and running multiple services locally. This leads to:
Environment inconsistencies across machines
Onboarding friction for new contributors
Difficult and error-prone deployment setup
Dockerization provides a consistent, repeatable, and production-ready environment for development and deployment.
💡 Proposed Solution
Introduce Docker configuration files to containerize the entire application:
A Dockerfile for the backend
A multi-stage Dockerfile for the frontend
A docker-compose.yml to orchestrate frontend, backend, and MongoDB
A Docker.md file documenting setup, build, and run instructions
This allows the entire project to be started with a single command:
🔄 Alternatives Considered
Running backend and frontend separately without containers
Using local MongoDB installations per developer
Platform-specific deployment scripts
These approaches were rejected due to higher setup complexity and lack of environment consistency.
📌 Additional Context
The Docker setup is production-ready and suitable for cloud platforms like AWS, Render, Railway, or Fly.io
MongoDB uses a persistent Docker volume for data storage
Frontend is served via Nginx for better performance
CORS and environment variables are configured to work correctly in Docker