golang

golang metrics集成

golang metrics集成到prometheus中，然后通过grafana展示出来

go client集成

package main
import (
        "net/http"

        "github.com/prometheus/client_golang/prometheus/promhttp"
)
func main() {
        http.Handle("/metrics", promhttp.Handler())
        http.ListenAndServe(":2112", nil)
}

gin 集成
func PrometheusHandler(c *gin.Context) {
	promhttp.Handler().ServeHTTP(c.Writer, c.Request)
}

func main() {
	router := gin.Default()
	router.GET("/metrics", PrometheusHandler)
  // ...	
}

使用helm封装，然后部署

Prometheus pull方式采集数据

kubekey已将prometheus-operator部署好，可以直接使用ServiceMonitor

基于PodMonitor来进行数据采集

apiVersion: monitoring.coreos.com/v1
kind: PodMonitor
metadata:
  name: go-server # 填写一个唯一名称
spec:
  podMetricsEndpoints:
  - interval: 30s
    port: http  # 填写pod yaml中Prometheus Exporter对应的Port的Name
    path: /metrics  # 填写Prometheus Exporter对应的Path的值，不填默认/metrics
  namespaceSelector:   # 选择要监控pod所在的namespace
    matchNames:
    - default
  selector:    # 填写要监控pod的Label值，以定位目标pod
    matchLabels:
      k8s-app: redis-exporter

也可以基于ServiceMonitor来进行数据采集

service_monitor.yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: go-demo    # 填写一个唯一名称
spec:
  endpoints:
  - interval: 30s
    # 填写service yaml中Prometheus Exporter对应的Port的Name
    port: http
    # 填写Prometheus Exporter对应的Path的值，不填默认/metrics
    path: /metrics
  # 选择要监控service所在的namespace
  namespaceSelector:
    matchNames:
    - default
  # 填写要监控service的Label值，以定位目标service
  selector:
    matchLabels:
      app.kubernetes.io/instance: go-demo-server

# 执行service monitor
k apply -f service_monitor.yaml

# 在Prometheus里查看是否抓取成功
kubectl --namespace kubesphere-monitoring-system port-forward prometheus-k8s-0 7890:9090

进入http://127.0.0.1:7890/targets页面，发现这个Endpoint，说明数据抓取成功

golang