🐳 Dockerized Flask REST API

A lightweight Flask-based REST API packaged and deployed inside a Docker container. This project demonstrates modern backend development practices, including environment reproducibility, dependency management, and containerized deployment.

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🚀 Features

• Flask REST API – Simple and clean endpoints for managing users or tasks.
• Dockerized Environment – Fully containerized using Docker for consistent setup across machines.
• Dependency Isolation – Uses requirements.txt and Docker layers for clean dependency management.
• Scalable Design – Easily extendable for production use with Docker Compose or Kubernetes.

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📁 Project Structure

dockerized-flask-api/
│
├── app/
│   ├── __init__.py
│   ├── routes.py          # API endpoints
│   └── models.py          # Simple data structure / logic
│
├── requirements.txt       # Python dependencies
├── Dockerfile             # Docker build configuration
├── .dockerignore          # Files ignored during Docker build
├── README.md              # Project documentation
└── run.py                 # Entry point for the Flask app

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⚙️ Setup & Usage

1. Clone the repository

git clone https://github.com/yourusername/dockerized-flask-api.git
cd dockerized-flask-api

2. Build the Docker image

docker build -t flask-api .

3. Run the container

docker run -d -p 5000:5000 flask-api

4. Test the API

Visit: http://localhost:5000

Example endpoint:

curl http://localhost:5000/api/todos

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🧩 Example Endpoint

GET /api/todos Returns all todos in JSON format.

POST /api/todos Creates a new todo item.

Example JSON payload:

{
  "task": "Learn Docker",
  "completed": false
}

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🧠 Key Learnings

• How to containerize Python/Flask apps using Docker.
• Managing dependencies and environments for reproducibility.
• Building RESTful APIs with Flask.
• Preparing apps for scalable deployment pipelines.

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🧰 Tech Stack

Tool	Purpose
Python 3.10+	Backend logic
Flask	REST API framework
Docker	Containerization
JSON	API data format

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📸 Architecture Diagram

+---------------------+
|     Client App      |
| (Postman / Browser) |
+----------+----------+
           |
           v
+---------------------+
|     Flask API       |
|   (Python / Flask)  |
+----------+----------+
           |
           v
+---------------------+
|     Docker Engine   |
| (Isolated Container)|
+---------------------+

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🧪 Example Dockerfile

# Use official lightweight Python image
FROM python:3.10-slim

# Set work directory
WORKDIR /app

# Copy dependencies
COPY requirements.txt .

# Install dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy project files
COPY . .

# Expose the app port
EXPOSE 5000

# Run the application
CMD ["python", "run.py"]

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👨‍💻 Author

Olabowale Babatunde Ipaye 💼 Backend Developer | Cloud & DevOps Enthusiast 🌐 LinkedIn • GitHub

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🏁 Future Improvements

• Add database integration (SQLite or PostgreSQL).
• Implement user authentication.
• Deploy using Docker Compose or Kubernetes.

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Would you like me to also generate the code files (app/routes.py, run.py, and Dockerfile) so you can instantly run and push this to GitHub? I can make it simple, clean, and production-ready.