Golang框架如何解决性能优化问题？

import (
    "fmt"
    "net/http"

    "github.com/gin-gonic/gin"
)

func main() {
    r := gin.Default()

    // 创建数据存储模拟
    data := map[string]string{
        "key1": "value1",
        "key2": "value2",
    }

    // 使用Gin的中间件缓存处理程序函数的结果
    r.GET("/", gin.Cache(10), func(c *gin.Context) {
        key := c.Query("key")
        if value, ok := data[key]; ok {
            c.JSON(http.StatusOK, gin.H{
                "key":   key,
                "value": value,
            })
        } else {
            c.JSON(http.StatusNotFound, gin.H{
                "error": "Key not found",
            })
        }
    })

    r.Run() // 监听并服务HTTP请求
}

import (
    "fmt"
    "time"

    "github.com/jinzhu/gorm"
    _ "github.com/jinzhu/gorm/dialects/postgres" // 用于连接到PostgreSQL
)

func main() {
    // 创建数据库连接池（最大连接数为10）
    db, err := gorm.Open("postgres", "user=postgres password=mypassword dbname=mydb sslmode=disable")
    if err != nil {
        panic(err)
    }

    // 配置连接池设置
    db.DB().SetMaxIdleConns(10)
    db.DB().SetMaxOpenConns(10)
    db.DB().SetConnMaxLifetime(time.Hour)

    // 执行查询
    var users []User
    if err := db.Find(&users).Error; err != nil {
        panic(err)
    }

    for _, user := range users {
        fmt.Println(user.Name)
    }
}

import (
    "fmt"
    "net/http"

    "github.com/labstack/echo/v4"
)

func main() {
    e := echo.New()

    // 创建一个异步处理程序
    e.GET("/async", func(c echo.Context) error {
        go func() {
            fmt.Println("异步任务开始")
            // 执行一些耗时任务
            fmt.Println("异步任务结束")
        }()
        return c.String(http.StatusOK, "OK")
    })

    e.Start(":8080") // 监听并服务HTTP请求
}

import (
    "fmt"

    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promhttp"
    "net/http"
)

// 创建自定义指标
var requestLatency = prometheus.NewHistogramVec(prometheus.HistogramOpts{
    Name:    "http_request_latency_seconds",
    Help:    "Histogram of request latencies.",
    Buckets: prometheus.ExponentialBuckets(0.001, 2, 10),
}, []string{"route"})

func main() {
    // 注册指标
    prometheus.MustRegister(requestLatency)

    // 创建HTTP处理程序来处理请求
    http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
        // 测量请求延迟
        latency := prometheus.NewTimer(requestLatency.WithLabelValues(r.URL.Path))

        // 处理请求
        fmt.Fprintf(w, "Hello, World!")

        latency.ObserveDuration()
    })

    // 启动HTTP服务器
    http.Handle("/metrics", promhttp.Handler())
    http.ListenAndServe(":8080", nil)
}