How to Containerize a Python App?
Overview
Containerization is the process of packaging your application and all its dependencies into a portable, reproducible container image. This ensures consistent behavior across development, staging, and production, no matter the environment. For operations teams, it means faster deployments, easier scaling, and rollbacks.
If you want to learn more about Docker, you can check our blog
In this guide, we will Containerize a Python app
Problem
Manually containerizing a Python app can be time-consuming
You need to identify the tech stack and dependencies.
Write a Dockerfile that follows security and performance best practices.
Test to ensure everything runs correctly in the container.
Keep documentation up to date for future maintenance.
Small mistakes like missing dependencies, using an insecure base image, or skipping health checks can lead to production downtime, security risks, and wasted engineering time.
How Stakpak Helps
Stakpak will follow the instructions from the Dockerization Rule Books to ensure a consistent process, and it will:
Automatically analyze your code to detect languages, frameworks, and services.
Then it generates a Dockerfile using the best practices like structure, testing, and security
Then it tests the app to make sure it's working.
Then it documents everything.
Step-by-Step Guide
Prerequisites
Now we can start.
Open your terminal.
Go to the directory that has your application.
Open Stakpak by typing
stakpakThen just ask it to "Dockerize this app"
That's it, Stakpak will handle everything else, even testing
Want to see it in action? Here’s a real-time demo of Stakpak containerizing a Python app in 3 minutes.
Extra Resources:
Related Use Cases
Migration & Modernization
Multi-Cloud Portability
CI/CD
and more...
References
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