Wouldn't you just use go/python/node for a simple crud API? fastapi for python is pretty performative if you use gunicorn as your runtime and time to iterate is must faster than it is in rust.
It depends exactly how simple that CRUD API is. If there's any business logic, I'd rather get all the cheap correctness guarantees that Rust provides. I don't find myself making many truly dumb CRUD APIs.
Time to iterate is also only much faster in certain situations, e.g. local development; if you have to e.g. build a container image, push to a registry, and redeploy to a k8s cluster somewhere, those savings become somewhere between less significant and nonexistent.
> Time to iterate is also only much faster in certain situations, e.g. local development; if you have to e.g. build a container image, push to a registry, and redeploy to a k8s cluster somewhere, those savings become somewhere between less significant and nonexistent.
Can you expand on what you mean here? I know you're not implying Rust is faster to move thru a CICD pipeline, so can you tell me what you do mean? I seem to be unable to make a different reading
I think the point being made here is that all CI/CD/SDLC stuff is effectively slowing down development, so the difference in iteration speed between Python and Rust is less explicit. But I dare to disagree, I just can't connect the dots here, moving code further down the CICD pipeline doesn't mean we can't work on the code itself or think about project improvement ideas.
Not your parent, but I have some ideas on this. I'm not sure how true they are. Maybe I'll write a longer version some day and see what people think. But the summary is this:
I suspect it has to do with how familiar you are with type systems, and the way that you use them. I find that Rust's constraints help guide me towards a solution more quickly, and I spend less time chasing down strange edge cases. Not eliminate! But reduce.
Time to iterate is also only much faster in certain situations, e.g. local development; if you have to e.g. build a container image, push to a registry, and redeploy to a k8s cluster somewhere, those savings become somewhere between less significant and nonexistent.