Docker Python App
🐳 Docker Level 4 - Day 5: Dockerize a Python App | KodeKloud Labs
Welcome to Day 5 of the Docker Level 4 Series! In this lab, you'll containerize a Python web application by creating a Dockerfile, installing the required dependencies, building a custom Docker image, and deploying the application as a Docker container.
📌 Lab Objective:
Create a Dockerfile for a Python application, build a custom image, deploy the container, and verify that the application is accessible through the mapped host port.
🛠️ Task Requirements:
🐳 Dockerize a Python Application
The application files are already available on App Server 3 under:
/python_app
The dependencies file is located at:
/python_app/src/requirements.txt
📄 Create a Dockerfile
Create a file named exactly:
Dockerfile
Requirements:
🔹 Use any Python image as the base image
🔹 Install the application dependencies using requirements.txt
🔹 Expose container port 6400
🔹 Configure the container to run server.py using the CMD instruction
🏗️ Build the Docker Image
Build the image with the following name:
nautilus/python-app
🚀 Deploy the Container
Run a container with:
Container Name: pythonapp_nautilus
Configure port mapping:
Host Port: 8097
Container Port: 6400
✅ Verify the Deployment
After the container is running, verify the application using:
curl http://localhost:8097/
💻 What You'll Configure & Verify:
🔹 Create a Dockerfile
🔹 Configure a Python base image
🔹 Install application dependencies using requirements.txt
🔹 Configure the application startup command
🔹 Build a custom Docker image
🔹 Run a Docker container
🔹 Configure port mapping
🔹 Verify the application using curl
🌟 Why This Lab Matters:
Containerizing Python applications is a common practice in modern DevOps workflows. This lab walks you through the complete process of packaging a Python application into a portable Docker image, installing its dependencies, exposing the required port, and deploying it as a container. These skills are essential for building consistent, reproducible environments across development, testing, and production.
🎯 Series: Docker Level 4 Series
Advance your Docker skills through hands-on KodeKloud labs covering Docker images, Dockerfiles, Docker Compose, networking, storage, troubleshooting, application deployment, and real-world DevOps scenarios.
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