Don’t Hop Past These 4 Performance Bottlenecks in Go Apps
Go is fast—until it isn’t. Many teams adopt Go expecting effortless concurrency and near-C performance, only to hit puzzling slowdowns in production. ...
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Go is fast—until it isn’t. Many teams adopt Go expecting effortless concurrency and near-C performance, only to hit puzzling slowdowns in production. ...
You've been there: the site slows down, you tweak a database query, and it speeds up for a week. Then the same thing happens again—different page, dif...
You deploy a new feature, and everything seems fine—until traffic spikes. Suddenly, response times jump from 200 milliseconds to 3 seconds. That's a p...
A common belief in the Go community is that the garbage collector (GC) is a performance liability—something that must be tamed with aggressive tuning ...
Go is celebrated for its lightweight goroutines and fast compilation, but many teams hit a wall when building high-throughput data pipelines. The bott...
You've got a slow endpoint. CPU usage is moderate, flame graphs show a few wide towers, and you've optimized the obvious loops. Yet the p99 latency is...
Introduction: The Silent Saboteur of System PerformanceLet me be frank: buffer sizing is the unsung hero—or the silent saboteur—of any dat...
Introduction: The Silent Performance Tax You're Paying Every DayFor over a decade, I've been the person companies call when their systems are "just sl...