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Milliseid tööriistu kasutati rakenduste jõudluse analüüsimiseks?

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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 testing package — 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.