Day 47: Docker Python App

🐳 Day 47: Docker Python App | 100 Days of DevOps

Welcome to Day 47 of the 100 Days of DevOps series! In this lab, you’ll containerize a Python application and deploy it on a server using Docker.

📌 Lab Objective:
Create a Docker image for a Python app and run it as a container with proper port mapping.

🛠️ Task Requirements:

Create Dockerfile in /python_app
Use any Python base image
Install dependencies from requirements.txt
Expose port 5004
Run server.py using CMD
Build image: nautilus/python-app
Run container: pythonapp_nautilus
Map port 8097 → 5004

💻 Step-by-Step Solution:

🔹 1. Go to Project Directory

cd /python_app

🔹 2. Create Dockerfile

vi Dockerfile

Paste:

FROM python:3.9

WORKDIR /app

COPY src/ /app/

RUN pip install --no-cache-dir -r requirements.txt

EXPOSE 5004

CMD ["python", "server.py"]

🔹 3. Build Docker Image

docker build -t nautilus/python-app .

🔹 4. Run Container

docker run -d \
--name pythonapp_nautilus \
-p 8097:5004 \
nautilus/python-app

🔍 Verify Application:

curl http://localhost:8097/

✅ Application should respond successfully

📚 What You’ll Learn:

Writing Dockerfiles for Python apps
Installing dependencies with pip
Building Docker images
Running containers with port mapping
Testing containerized apps

🌟 Why This Lab Matters:
Containerizing applications is a core DevOps skill, enabling consistent deployments across environments.

🎯 Series: 100 Days of DevOps
Keep leveling up your real-world DevOps skills.

🔔 Follow OtterTech for more hands-on labs and tutorials!

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