issues: 1266207143
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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| 1266207143 | I_kwDOBm6k_c5LeMmn | 1755 | Gunicorn | 1176293 | open | 0 | 0 | 2022-06-09T14:18:46Z | 2022-06-09T14:18:46Z | NONE | I've read issue #514 which resulted in running Datasette via systemd as recommended approach. We've also adopted this (for now), but I notice that Uvicorn [says the following](https://www.uvicorn.org/#running-with-gunicorn): > Uvicorn includes a Gunicorn worker class allowing you to run ASGI applications, with all of Uvicorn's performance benefits, while also giving you Gunicorn's fully-featured process management. > > This allows you to increase or decrease the number of worker processes on the fly, restart worker processes gracefully, or perform server upgrades without downtime. > > For production deployments we recommend using gunicorn with the uvicorn worker class. We usually deploy Python applications via Gunicorn for these process management features (e.g. `--daemon` and `--pid`). Is this something that would/could work with Datasette as well? | 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1755/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} |