Hi,
I’m self-hosting Taiga, and one of my projects has a lot of stories..
I noticed after importing about 2300 stories that the Kanban board is quite slower than it used to be. It takes something in the order of 8 to 11 seconds to load /api/v1/userstories endpoint.
I’m running Taiga via the standard docker compose, and was curious if anyone has ever had to tweak the postgres or gunicorn configurations to get it to run faster?
I’ve already run ANALYZE; on the database directly in a psql terminal, but I’m not really sure if it’s made a difference.
I’d be interested to hear any insight into what the tree.taiga.io hosted version uses (I imagine it has to deal with performance a lot given it’s a multi-tenant system), though I appreciate you probably can’t give too much away..
Thanks in advance