monitoring

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Published: May 13, 2024 License: Apache-2.0 Imports: 5 Imported by: 0

README

Prometheus monitoring for Hertz

Usage Example

Server
import (
   "context"
	"time"

	"github.com/cloudwego/monitor-prometheus"
	"github.com/cloudwego/hertz/pkg/app"
	"github.com/cloudwego/hertz/pkg/app/server"
)

func main() {
...
	h := server.Default(server.WithHostPorts("127.0.0.1:8080"), server.WithTracer(prometheus.NewServerTracer(":9091", "/hertz")))

	h.GET("/metricGet", func(c context.Context, ctx *app.RequestContext) {
		ctx.String(200, "hello get")
	})

	h.POST("/metricPost", func(c context.Context, ctx *app.RequestContext) {
		time.Sleep(100 * time.Millisecond)
		ctx.String(200, "hello post")
	})

	h.Spin()

HOW-TO-RUN

  1. install docker and start docker

  2. change $inetIP to local ip in line 30 of prometheus.yml

  3. run Prometheus and Grafana
    docker-compose up

  4. run Hertz server
    go run main.go

  5. run Hertz client
    go run client/main.go

  6. visit http://localhost:3000, the account password is admin by default

  7. configure Prometheus data sources

    1. Configuration
    2. Data Source
    3. Add data source
    4. Select Prometheus and fill the URL with http://prometheus:9090
    5. click Save & Test after configuration to test if it works
  8. add dashboard Create -> dashboard, add monitoring metrics such as throughput and pct99 according to your needs, for example:

    • server throughput of succeed requests

    sum(rate(hertz_server_throughput{statusCode="200"}[1m])) by (method)

    • server latency pct99 of succeed requests

    histogram_quantile(0.9,sum(rate(hertz_server_latency_us_bucket{statusCode="200"}[1m]))by(le))

For more information about hertz monitoring, please click monitoring

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