Senior
What tools were used for performance evaluation and profiling? Did you use the standard pprof profiling in Go?
sobes.tech AI
Answer from AI
For performance assessment and profiling in Go, the standard pprof package was often used, which allows collecting CPU, memory, and lock profiles. It integrates with the application and enables visualization of bottlenecks. Additionally, external monitoring tools such as Prometheus with Grafana were used for real-time metrics.
Example of using pprof:
import (
"net/http"
_ "net/http/pprof"
)
func main() {
go func() {
log.Println(http.ListenAndServe("localhost:6060", nil))
}()
// Main application logic
}
After starting, you can connect to http://localhost:6060/debug/pprof/ and collect profiles for analysis.