What tools and technologies do you use for tracking execution and collecting metrics in systems?

To monitor execution and collect metrics in Go systems, I often use the following tools and technologies:

• Prometheus — for collecting and storing metrics. In Go, there is a client library prometheus/client_golang that allows creating counters, histograms, gauges, and exposing them via HTTP.
• OpenTelemetry — for tracing and metrics, supporting distributed tracing and integration with various backends.
• Jaeger or Zipkin — for visualizing and analyzing distributed traces.
• logrus or zap — for structured logging, which helps in debugging and monitoring.

Example of exposing a Prometheus metric in Go:

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

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

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

func handler(w http.ResponseWriter, r *http.Request) {
    opsProcessed.Inc()
    w.Write([]byte("Hello, Metrics!"))
}

func main() {
    http.HandleFunc("/", handler)
    http.Handle("/metrics", promhttp.Handler())
    http.ListenAndServe(":8080", nil)
}

This approach allows collecting and visualizing metrics in real-time.