Today on Talk Python, the creators behind FastAPI, Flask, Django, Quart, and Litestar get practical about running apps based on their framework in production. Deployment patterns, async gotchas, servers, scaling, and the stuff you only learn at 2 a.m. when the pager goes off. For Django, we have Carlton Gibson and Jeff Triplet. For Flask, we have David Lord and Phil Jones, and on team Litestar we have Janek Nouvertné and Cody Fincher, and finally Sebastián Ramírez from FastAPI is here. Let’s jump in.

Talk Python Courses

Python in Production

Links from the show

Carlton Gibson - Django: github.com

Sebastian Ramirez - FastAPI: github.com

David Lord - Flask: davidism.com

Phil Jones - Flask and Quartz(async): pgjones.dev

Yanik Nouvertne - LiteStar: github.com

Cody Fincher - LiteStar: github.com

Jeff Triplett - Django: jefftriplett.com

Django: www.djangoproject.com

Flask: flask.palletsprojects.com

Quart: quart.palletsprojects.com

Litestar: litestar.dev

FastAPI: fastapi.tiangolo.com

Coolify: coolify.io

ASGI: asgi.readthedocs.io

WSGI (PEP 3333): peps.python.org

Granian: github.com

Hypercorn: github.com

uvicorn: uvicorn.dev

Gunicorn: gunicorn.org

Hypercorn: hypercorn.readthedocs.io

Daphne: github.com

Nginx: nginx.org

Docker: www.docker.com

Kubernetes: kubernetes.io

PostgreSQL: www.postgresql.org

SQLite: www.sqlite.org

Celery: docs.celeryq.dev

SQLAlchemy: www.sqlalchemy.org

Django REST framework: www.django-rest-framework.org

Jinja: jinja.palletsprojects.com

Click: click.palletsprojects.com

HTMX: htmx.org

Server-Sent Events (SSE): developer.mozilla.org

WebSockets (RFC 6455): www.rfc-editor.org

HTTP/2 (RFC 9113): www.rfc-editor.org

HTTP/3 (RFC 9114): www.rfc-editor.org

uv: docs.astral.sh

Amazon Web Services (AWS): aws.amazon.com

Microsoft Azure: azure.microsoft.com

Google Cloud Run: cloud.google.com

Amazon ECS: aws.amazon.com

AlloyDB for PostgreSQL: cloud.google.com

Fly.io: fly.io

Render: render.com

Cloudflare: www.cloudflare.com

Fastly: www.fastly.com

Watch this episode on YouTube: youtube.com

Episode #533 deep-dive: talkpython.fm/533

Episode transcripts: talkpython.fm

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