What tools were used for application performance analysis?

The following tools are often used for analyzing the performance of applications in Go:

• pprof — a 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 — a tool for tracing program execution events, helping to identify issues with concurrency and delays.
• 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/ to collect profiles.