Auto-Deploy Python Apps from GitHub to Production
Automatically deploy Python applications to cloud hosting whenever code is pushed to your main branch, eliminating manual deployment steps.
Workflow Steps
GitHub Actions
Trigger on code push
Set up a workflow that triggers automatically when code is pushed to the main branch, using the 'on: push' event in your .github/workflows/deploy.yml file
GitHub Actions
Run Python tests
Configure the workflow to install dependencies with pip, run pytest or unittest, and ensure all tests pass before proceeding to deployment
Docker
Build container image
Use a Dockerfile to package your Python application with all dependencies into a portable container image that can run consistently across environments
Heroku
Deploy to production
Push the container to Heroku Container Registry and release it to production using Heroku CLI commands in the GitHub Actions workflow
Workflow Flow
Step 1
GitHub Actions
Trigger on code push
Step 2
GitHub Actions
Run Python tests
Step 3
Docker
Build container image
Step 4
Heroku
Deploy to production
Why This Works
This workflow combines GitHub's native CI/CD with Docker's portability and Heroku's simplicity, creating a robust deployment pipeline that catches issues early and reduces deployment friction for Python teams.
Best For
Python developers who want to eliminate manual deployment steps and ensure consistent releases
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