


How to monitor performance indicators in Golang technical performance optimization?
Jun 05, 2024 pm 10:18 PMIn Go programs, it is crucial to use Prometheus to monitor performance indicators: install the Prometheus tool. Create MetricsHandler using Prometheus client library. Use the promhttp module to create an HTTP Server to handle requests. Use Prometheus.Register() to register metrics. Use NewTimer() and ObserveDuration() to track request latency. Access the Prometheus web UI to visualize performance metrics.
Using Prometheus to monitor Go program performance metrics
It is crucial to monitor performance metrics in Go applications to quickly identify and Resolve bottlenecks that may impact performance. Prometheus is a popular open source tool that helps us achieve this kind of monitoring. Through this article, we will learn how to use Prometheus to monitor the performance indicators of Go programs and use real cases to illustrate.
Installing and Configuring Prometheus
-
Install Prometheus on your system:
wget https://github.com/prometheus/prometheus/releases/download/v2.39.3/prometheus-2.39.3.linux-amd64.tar.gz tar -xzvf prometheus-2.39.3.linux-amd64.tar.gz
Start Prometheus service:
cd prometheus-2.39.3.linux-amd64 ./prometheus
Create Prometheus client
Install Prometheus client in your Go program:
go get github.com/prometheus/client_golang/prometheus go get github.com/prometheus/client_golang/prometheus/promhttp
Create a MetricsHandler:
package main import ( "log" "net/http" "time" "github.com/prometheus/client_golang/prometheus" "github.com/prometheus/client_golang/prometheus/promhttp" ) const ( // RequestDuration defines the prometheus metric to track the time elapsed // for the handling of incoming requests RequestDuration = "http_server_request_duration_seconds" ) var requestDuration = prometheus.NewHistogram(prometheus.HistogramOpts{ Name: RequestDuration, Help: "HTTP server request duration in seconds.", Buckets: []float64{0.1, 0.3, 0.5, 0.75, 1}, }) func main() { // Register the RequestDuration metric prometheus.Register(requestDuration) // Create a new HTTP Server with a MetricsHandler http.Handle("/metrics", promhttp.Handler()) http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { timer := prometheus.NewTimer(requestDuration.WithLabelValues(r.URL.Path)) defer timer.ObserveDuration() time.Sleep(time.Millisecond * 100) }) // Start the server log.Fatal(http.ListenAndServe(":8080", nil)) }
Start the Go program:
go run main.go
Visualize performance Metrics
- Open Prometheus Web UI: http://localhost:9090
- Switch to the "Graphs" tab and select the "http_server_request_duration_seconds" metric.
Best Practices
- Use meaningful metric names and help information.
- Monitor multiple metrics in a published application.
- Set alarm rules to detect performance issues in real time.
- Use visualization tools such as Grafana to create dashboards.
The above is the detailed content of How to monitor performance indicators in Golang technical performance optimization?. For more information, please follow other related articles on the PHP Chinese website!

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