Bun vs Go Perf | Prime Reacts
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Top Comments (10)
People thinking Promises are multi-threaded was painful to watch.
Bun is the definitely KING of hard-coded JSON response.
Alright I'm going to host a race to see which of these bikes is faster - But I'm going to be replacing one of their wheels with square wheels!
Prime please make some standardized benchmarking setup as a project! You always have comments on how to do it right and no one seems to follow them lol
"short for assembly is asm" Prime: Ass
Prometheus scrapes metrics from the service. Commonly used with Grafana
There is also the trap with interpreted vs compiled languages. If the two code is computationally doing the same, then the interpreted one is slower at least by the time it takes to parse the code. The trap is that if you have little enough of the interpreted language which uses heavily a library written in another language (e.g.: the standard library in JS, or about any machine learning library in Python), 99% computation happens in ridiculously optimized C++
10:48 Concurrent, but not parallel. The tasks overlap in time, but cannot execute at the exact same time (or simultaneously) as there is only a single thread to run it on.
9:15 concurrency != parallelism
This is on a whole other level now. Test it yourself. Bun ❤
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Top Comments (10)
People thinking Promises are multi-threaded was painful to watch.
Bun is the definitely KING of hard-coded JSON response.
Alright I'm going to host a race to see which of these bikes is faster - But I'm going to be replacing one of their wheels with square wheels!
Prime please make some standardized benchmarking setup as a project! You always have comments on how to do it right and no one seems to follow them lol
"short for assembly is asm" Prime: Ass
Prometheus scrapes metrics from the service. Commonly used with Grafana
There is also the trap with interpreted vs compiled languages. If the two code is computationally doing the same, then the interpreted one is slower at least by the time it takes to parse the code. The trap is that if you have little enough of the interpreted language which uses heavily a library written in another language (e.g.: the standard library in JS, or about any machine learning library in Python), 99% computation happens in ridiculously optimized C++
10:48 Concurrent, but not parallel. The tasks overlap in time, but cannot execute at the exact same time (or simultaneously) as there is only a single thread to run it on.
9:15 concurrency != parallelism
This is on a whole other level now. Test it yourself. Bun ❤