The Go Service That Slowed Down Without Errors
The article discusses the performance challenges associated with Go services, particularly in relation to concurrency. It highlights that while goroutines are memory efficient, issues arise when concurrency limits are exceeded, leading to increased latency without any error messages. The author argues for the importance of implementing explicit concurrency limits to maintain service performance.
- ▪Concurrency in Go is often perceived as inexpensive due to the low memory footprint of goroutines.
- ▪However, performance issues can occur when concurrency limits are exceeded, resulting in increased latency and CPU usage without any errors being reported.
- ▪The article emphasizes the need for explicit concurrency limits to prevent service degradation.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3906866) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Arthur Posted on May 20 • Originally published at pickles.news The Go Service That Slowed Down Without Errors #go #performance #goroutines There is a popular phrasing in Go circles that says concurrency is almost free. The phrasing is true at the level of stack allocation and misleading at the level of operating a service. The cheap thing is the per-goroutine memory footprint.
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