Premature optimization is the root of all evil. Implement algorithm the easiest way possible, profile your application, determine if this implementation a bottleneck or no. If yes, try other implementations, benchmark them and find the fastest one. Note that optimized go code can be faster than non-optimal code in rust, C, assembly or any other language.
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Absolutely.
I've seen so many projects hindered by bad decisions around performance. Big things like shoehorning yourself into an architecture, language, or particular tool, but even small things like assuming the naive approach is unacceptably slow. If you never actually measure anything though, your assumptions are just assumptions.
Go is plenty fast for most things, and it is fairly simple. Rust is more interesting from a language geek perspective. I'd decide based on which of those appeals to you. I don't see good reason to combine them, though.
First write it in Go, which will likely be faster unless you are quite familiar with Rust. After that, you can port some/all of it to Rust if you wish.
Edit: by 'faster' above, I mean faster to write.
Go with what you want to do. If you prefer writing in one language over an other, do it.
web development in Rust feels harder than say in Go or Python
Have you tried? There are some very nice web frameworks for Rust, like axum.
In my experience combining multiple languages usually creates more complexity and is slower than each of them individually because you need to convert the data structures of one language into those of another. Both of them are great languages and I've made web services in both so whatever one you pick will be a good choice.
As for which one to pick, although Rust is my favorite language, if you don't know it it'll take a while to learn. So for this project I'd say to go with Go because it's simpler and you really won't notice a performance difference unless you've got a huge amount of traffic.
If you have any more questions feel free to ask!
The right answer is definitely PHP.
🙄 PHP is great for most things. I can't believe it's 2024 and this terrible relic from 15 years ago still persists.
I see we have like minded bosses lol
Cursed reply. Love it. 👌
Bluesky Social, or at least their PDS (personal data server) uses Go and their Docker package includes Caddy, a webserver written in Go.
I don't know what you're doing, but I have difficulty accepting that Go cannot meet your performance requirements.
The webserver performance is not my main concern. It's the speed of the algorithm.
I didn't suggest otherwise. I was merely pointing at a couple of examples where some pretty smart, pretty experienced people used Go to successfully implement entire collections of algorithms in some very performance-sensitive systems. It's just by coincidence that I chose those examples because that is where my study is right now. Ask me in a year and I might point to your project as an example when the next person is asking for similar advice.
If Go isn't going to be fast enough to perform your task, then you're probably going to be sorely disappointed when you finally get the performance you're after and then have to stick it at the end of a wire with all kinds of stuff between you and your end users:
Operating systems, databases, hardware, virtual machines, containers, webservers, firewalls, routers, HTML/CSS/whatever, DNS, certificate authorities, more routers and firewalls, ISPs, modems, more routers and firewalls, WiFi connected machines of all kinds, and random browsers implementing any of several different rendering engines.
Quite frankly I can't imagine a language that won't offer enough performance to meet your needs in that environment.
My vote is Go. I've tried to make web services in both before and personally always found Go easier to use without noticeable performance trade-offs (even for real-time websocket apps). I feel you could always optimize more later if you start actually seeing performance issues.
Given that it's a webserver and not a constantly running algorithm, definitely Go. It's plenty fast and is much more flexible.
Yes go fast
This question is quite specific to Go, also specific to the algorithm you using. You should also ask on the Go mailing list, or benchmark your algo in Go and then ask on rust mailing list.
I guess benchmarking seems to be the most reliable answer to my question.
Nim is cool
It's an enjoyable all purpose language, though significantly "nichier" than most niche ones
Go with the Fiber framework will probably offer you enough performance https://www.techempower.com/benchmarks/#hw=ph&test=composite§ion=data-r22