关于micro:go-micro-metrics-接入PrometheusGrafana

本文介绍 go micro 中退出 metric, 并接入 Prometheus、Grafana

1.go micro 中间件加载 prometheus plugins

go micro 中提供了 prometheus plugins

github.com/micro/go-plugins/wrapper/monitoring/prometheus/

package main

import (
    "net/http"
    "github.com/micro/go-plugins/wrapper/monitoring/prometheus/v2"
    "github.com/prometheus/client_golang/prometheus/promhttp"
    //...
)

func main() {
    // New Service
    service := micro.NewService(micro.Name("go.micro.api.myauth"),
        micro.Version("latest"),
        micro.WrapHandler(prometheus.NewHandlerWrapper()),
    )

    // Initialise service
    service.Init(
        // create wrap for the Myauth service client
        micro.WrapHandler(client.MyauthWrapper(service)),
    )
    go PrometheusBoot()
    
    // Register Handler
    myauth.RegisterMyauthHandler(service.Server(), new(handler.Myauth))

    // Run service
    if err := service.Run(); err != nil {log.Fatal(err)
    }
}

func PrometheusBoot() {http.Handle("/metrics", promhttp.Handler())
    // 启动 web 服务，监听 8085 端口
    go func() {err := http.ListenAndServe("localhost:8085", nil)
        if err != nil {log.Fatal("ListenAndServe:", err)
        }
    }()}

代码很简略，在 micro.NewService 中传入micro.WrapHandler(prometheus.NewHandlerWrapper()),

再启动 web 服务，监听 8085 端口，裸露 metric 数据

拜访 http://localhost:8085/metrics 即可看到数据

2. 启动 prometheus

本文演示 prometheus、grafana 在 docker 中运行

启动 prometheus

1. 创立 prometheus.yml，粘贴以下内容

global:
  scrape_interval:     15s # By default, scrape targets every 15 seconds.

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
    monitor: 'codelab-monitor'

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'prometheus'
    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s
    static_configs:
      - targets: ['host.docker.internal:8085']

这里示例 micro 微服务间接运行在宿主机上，Prometheus 抓取数据须要拜访主机端口，所以 targets 的 ip 写的是 host.docker.internal

1. 启动 prometheus

docker run -d -p 9090:9090 -v /Users/wulin/gowork/myauth/prometheus.yml:/etc/prometheus/prometheus.yml --name prometheus prom/prometheus

拜访地址 http://localhost:9090/

能够看到抓取状态是失常的

2. 启动 grafana

docker run -d -p 3000:3000 grafana/grafana
拜访地址 http://localhost:3000/

首先设置数据源，抉择 prometheus，url 填 http:// 宿主 ip:9090/，点击保留，提醒胜利即可

dashboard 中点击 `add panel`, 抉择数据源，填写 metrics（点击有提醒），实现后点 `apply` 即可

测试用的 node-exporter，能够用于测试

docker run -d  -p 9100:9100 \
  -v "/proc:/host/proc:ro" \
  -v "/sys:/host/sys:ro" \
  -v "/:/rootfs:ro" \
  prom/node-exporter

以上内容探讨的是 go micro 的 metrics，

以下内容探讨的是 micro 网关 中的 metrics，官网 plugins 请见 https://github.com/micro/go-p…

自定义 micro 网关 代码如下，仅列出 metrics 相干代码

import (

    "github.com/micro/go-plugins/micro/metrics/v2"
    "github.com/micro/micro/v2/cmd"
    "github.com/micro/micro/v2/plugin"
)

func main() {plugin.Register(metrics.NewPlugin())
    cmd.Init()}

插件中代码如下

// NewPlugin returns a new metrics plugin
func NewPlugin() plugin.Plugin {metrics := new(Metrics)

    return plugin.NewPlugin(plugin.WithName("metrics"),
        plugin.WithFlag(
            &cli.StringFlag{
                Name:  "metrics",
                Usage: "Specify the type of metrics provider e.g prometheus",
            },
        ),
        plugin.WithHandler(metrics.Handler),
        plugin.WithInit(func(ctx *cli.Context) error {provider := ctx.String("metrics")

            switch provider {
            case "prometheus":
                metrics.Provider = prometheus.New()
                log.Info("Loaded prometheus metrics at /metrics")
            }

            return nil
        }),
    )
}

看起来不是很欠缺，目前只反对 prometheus，且参数不能在代码指定 metrics，启动如下

go run ./gateway/main.go -metrics prometheus api --handler=api

plugins 参数指定须要放到 api 之前哦

启动后能够看见控制台

file=v2@v2.9.1/metrics.go:49 level=info Loaded prometheus metrics at /metrics

拜访 http://localhost:8080/metrics，即可看到 metrics 信息

数据收集展示和上文一样，这里就不反复介绍了。

go micro 剖析系列文章
go micro server 启动剖析
go micro client
go micro broker
go micro cmd
go micro config
go micro store
go micro registry
go micro router
go micro runtime
go micro transport
go micro web
go micro registry 插件 consul
go micro plugin
go micro jwt 网关鉴权
go micro 链路追踪
go micro 熔断与限流
go micro wrapper 中间件
go micro metrics 接入 Prometheus、Grafana