Go's concurrency model enables high-performance applications through goroutines and channels. Here's a concise guide to benchmarking concurrency in Go:

Key Concepts

  • Goroutines 🧠
    Lightweight threads managed by the Go runtime (e.g., go func()).

    Go Goroutines

  • Channels 🚪
    Used for communication between goroutines (e.g., ch := make(chan int)).

    Go Channels

  • Synchronization ⏱️
    Leverage sync.WaitGroup or sync.Mutex for safe concurrency.

Benchmarking Tools

  1. pprof 📊
    Built-in profiling tool for CPU and memory analysis.
    Learn more →

  2. Benchmark Templates 📝
    Use testing package for structured benchmarks (e.g., BenchmarkGoroutines).

  3. Concurrency Libraries 🧰
    Explore third-party tools like GoConcurreny for advanced scenarios.

Best Practices

  • Keep goroutine functions simple and focused.
  • Avoid excessive channel usage for high-throughput tasks.
  • Use sync.Pool to reduce GC pressure.

Example Code

package main

import (
    "fmt"
    "sync"
    "testing"
    "time"
)

func TestConcurrencyBenchmark(t *testing.T) {
    var wg sync.WaitGroup
    wg.Add(1000)
    
    for i := 0; i < 1000; i++ {
        go func() {
            defer wg.Done()
            time.Sleep(1 * time.Millisecond)
            fmt.Println("Task completed")
        }()
    }
    
    wg.Wait()
}

Further Reading

Go Benchmarking