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Milliseid tööriistu kasutati rakenduste jõudluse analüüsimiseks?
sobes.tech AI
Vastus AI-lt
To analyze the performance of Go applications, the following tools are often used:
- pprof — built-in package for profiling CPU, memory, locks, and goroutines. It allows collecting and visualizing profiles in the form of graphs and flamegraphs.
- Go Trace — tool for tracing program execution events, helps identify concurrency and latency issues.
- Benchmark tests from the
testingpackage — enable measuring the performance of individual functions. - External tools, such as Prometheus for monitoring metrics in production.
Example of using pprof:
import (
"net/http"
_ "net/http/pprof"
)
func main() {
go func() {
log.Println(http.ListenAndServe("localhost:6060", nil))
}()
// main application code
}
After starting, you can connect to http://localhost:6060/debug/pprof/ and collect profiles.