Building a monitoring agent involves collecting metrics from a system and sending them to a monitoring server or displaying them on a dashboard.
Step-by-Step Guide
Define Metrics Structure:
Create a structure to store metrics.
type Metric struct {
Name string
Value float64
}
Collect Metrics:
Implement functions to collect various system metrics (CPU usage, memory usage, etc.).
import (
"github.com/shirou/gopsutil/cpu"
"github.com/shirou/gopsutil/mem"
)
func collectCPUMetrics() Metric {
usage, _ := cpu.Percent(0, false)
return Metric{Name: "cpu_usage", Value: usage[0]}
}
func collectMemoryMetrics() Metric {
v, _ := mem.VirtualMemory()
return Metric{Name: "memory_usage", Value: v.UsedPercent}
}
Send Metrics:
Implement a function to send metrics to a monitoring server (e.g., Prometheus, InfluxDB).
import (
"bytes"
"encoding/json"
"net/http"
)
func sendMetrics(metrics []Metric, url string) error {
jsonData, err := json.Marshal(metrics)
if err != nil {
return err
}
resp, err := http.Post(url, "application/json", bytes.NewBuffer(jsonData))
if err != nil {
return err
}
defer resp.Body.Close()
return nil
}
Main Function:
Collect and send metrics in the main function.
func main() {
metrics := []Metric{
collectCPUMetrics(),
collectMemoryMetrics(),
}
err := sendMetrics(metrics, "http://monitoring-server/metrics")
if err != nil {
log.Fatal(err)
}
log.Println("Metrics sent successfully")
}