首先用golang获得电脑CPU信息

• grafana_demo.go

package main

import (
    "time"
    "math"
    "math/rand"
    "log"
    "github.com/christophberger/grada"
)

func newFakeDataFunc(max int, volatility float64, responseTime int) func() float64 {
    value := rand.Float64()
    return func() float64 {
        time.Sleep(time.Duration(responseTime) * time.Millisecond) // simulate response time
        rnd := 2 * (rand.Float64() - 0.5)
        change := volatility * rnd
        change += (0.5 - value) * 0.1
        value += change
        return math.Max(0, value*float64(max))
    }
}

func main() {
    dash := grada.GetDashboard()
    CPU1metric, err := dash.CreateMetric("CPU1", 5*time.Minute, time.Second)
    if err != nil {
        log.Fatalln(err)
    }
    CPU2metric, err := dash.CreateMetricWithBufSize("CPU2", 300)
    if err != nil {
        log.Fatalln(err)
    }
    CPU1stats := newFakeDataFunc(100, 0.2, 1000)
    CPU2stats := newFakeDataFunc(100, 0.1, 1000)
    trading := func(metric *grada.Metric, dataFunc func() float64) {
        for {
            metric.Add(dataFunc())
        }
    }
    go trading(CPU1metric, CPU1stats)
    go trading(CPU2metric, CPU2stats)

    select {}
}

• 运行grafana_demo.go

$ go run grafana_demo.go

安装grafana

• mac

$ brew install grafana 

• install grafana simple json plugin

$ grafana-cli plugins install grafana-simple-json-datasource

• run grafana and configuration

  • brew services start grafana
  • visit http://127.0.0.1:3000/
  • default user and password: admin/admin

• add data source and configuration

  • name: test_grafana
  • type: SimpleJson
  • url: http://127.0.0.1:3001/ (connect to go app)
  • access: proxy
    

• add a dashboard

  • first set time range that this dashboard requests from our source
  • set zoom out “last 5 minutes”
  • add a gragh and click panel title to edit
  • select metric and select CPU1 and CPU2

Congrats! Your personal dashboard is up and running.

本文链接：https://lg1024.com/post/grafana-go.html，参与评论 »

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发表于 2017-12-05 23:51:00，并被添加「go」标签。

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