[radus]

How big are those responses? I’ve seen terrible performance come down to serialization, which can be addressed by swapping in a fast serialization library like orjson (https://github.com/ijl/orjson). Though even then you’d probably have a hard time getting to tens of milliseconds. Other common culprits: poor indexing, n+1 queries.

[JPKab]

At my last company, there was an existing product (an auto ml product for business users) built on Flask with a ton of serialization occurring to populate various charts in the GUI.

After I had left that specific team, I came back and swapped out the json serializer with orjson. It was like 5 lines of code if I recall. The performance skyrocketed. The GUI was noticeably far more responsive in populating the various charts and plots. By "noticeable" I mean it was loading in less than a 1/3 the previous time. Definitely recommend it. It's written in Rust, and it inspired me to start learning the language.