Sobes.tech
Senior

What monitoring tools did you use?

sobes.tech AI

Answer from AI

For monitoring applications in Go, I used the following tools:

  • Prometheus — for collecting metrics and performance monitoring. It integrates easily with Go through a client library.

  • Grafana — for visualizing metrics from Prometheus and other sources.

  • Jaeger or OpenTelemetry — for tracing distributed requests and analyzing delays.

  • ELK Stack (Elasticsearch, Logstash, Kibana) — for centralized log collection and analysis.

  • pprof — a built-in Go tool for profiling CPU, memory, and locks.

Example of integrating Prometheus in Go:

import (
    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promhttp"
    "net/http"
)

var opsProcessed = prometheus.NewCounter(prometheus.CounterOpts{
    Name: "myapp_processed_ops_total",
    Help: "The total number of processed events",
})

func init() {
    prometheus.MustRegister(opsProcessed)
}

func main() {
    http.Handle("/metrics", promhttp.Handler())
    go http.ListenAndServe(":2112", nil)

    // In the application code
    opsProcessed.Inc()
}

This approach allows real-time monitoring of service status and performance.

What monitoring tools did you use? — Golang - sobes.tech