Comment by macNchz
3 years ago
I put PyPy in production at a previous job, running a pretty high traffic Flask web app. It was quick and pretty straightforward to integrate, and sped up our request timings significantly. Wound up saving us money because server load went down to process the same volume of requests, so we were able to spin down some instances.
Haven’t used it in a bit mostly because I’ve been working on projects that haven’t had the same bottleneck, or that rely on incompatible extensions.
Thank you for your work on the project!
You're welcome.
> that rely on incompatible extensions.
Which ones? Is using conda an option, we have more luck getting binary packages into their build pipelines than getting projects to build wheels for PyPI
I can't actually remember off of the top of my head, I tried it out a year or two ago but didn't get too far because during profiling it became clear the biggest opportunities for performance improvement in this app were primarily algorithmic/query/io optimizations outside of Python itself, so business-wise it didn't make too much sense, though if it had I think using Conda would have been on the table. We make heavy use of Pandas/Numpy et al, though I know those are largely supported now so I'd guess it was not one of them but something adjacent.