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11 pages in this section.
Why every deployment target in this section - Docker, Lambda, Kubernetes - is really solving the same problem: turning a Python app into one immutable artifact, configured only at runtime, that an orchestrator can start, health-check, and replace without touching its contents.
Learn to deploy Python WSGI and ASGI apps using Gunicorn and Uvicorn. Explore 10 examples for basic and intermediate container deployments.
Learn to containerize Python applications using slim base images, multi-stage builds, and non-root users for small, reproducible Docker images.
Learn to deploy FastAPI applications using Gunicorn and Uvicorn, configure worker processes, and tune settings for production environments.
Automate Python service deployment with CI/CD pipelines. Learn to build, test, and deploy code on every merge using GitHub Actions, uv, and pytest.
Learn to configure Python services in production using environment variables, Pydantic 2, and platform secret stores for secure deployments.
Implement best practices for reproducible, observable, and reversible Python API deployments. Learn about Docker, CI/CD, and Kubernetes strategies.
A single-page roundup of every highlight bullet from the 10 pages in the Containers & Deploy section, grouped by source page so you can scan all 55 takeaways without opening each article individually.