README.md

Day 24: Performance Optimization

Overview

This day focuses on Performance Optimization in Go. You will learn how to profile and optimize Go applications using tools like pprof and benchstat.

Tasks

• Task 1: Use pprof to profile a Go application and identify bottlenecks.
• Task 2: Optimize a Go program by improving its memory and CPU usage.
• Task 3: Benchmark your Go code and compare results using benchstat.

Resources

• Profiling Go Programs with pprof
• Go Benchmarking Guide
• benchstat Tool

Example Code

// Example: Profiling a Go Application with pprof
package main

import (
    "fmt"
    "net/http"
    _ "net/http/pprof"
    "time"
)

func slowFunction() {
    time.Sleep(2 * time.Second)
}

func main() {
    go func() {
        fmt.Println(http.ListenAndServe("localhost:6060", nil))
    }()

    for i := 0; i < 5; i++ {
        slowFunction()
    }
}

Exercises

• Run the example code and use pprof to analyze its performance.
• Optimize the slowFunction to reduce its execution time.
• Write benchmarks for a Go function and compare results before and after optimization using benchstat.