Ask HN: What does your Python in Production stack look like?

Not sure exactly what you’re looking for, but here are the key bits and pieces:

- uwsgi - Python - Django - Docker - k8s

Then the bits and pieces outside of the Python stack itself -

- MySQL and Postgres - memcached - redis - RabbitMQ

poetry - python - fastAPI - sqlalchemy - postgres - docker k8s

Flask, gunicorn, supervisor, sqlalchemy, PostgreSQL, Docker, Kubernetes.

PostHog, Sentry, Prometheus, Grafana.

JupyterLab.

And a bunch of other things for live collaborative notebooks, long-running notebooks, to train, track, deploy, and monitor models and applications.

Fast API, MongoDB, Docker, Atatus (monitoring)