func poll(client librato.Client) {
resp, err := http.Get(os.Getenv("HAPROXY_URL"))
if err != nil {
fmt.Println(err)
os.Exit(1)
}
defer resp.Body.Close()
reader := csv.NewReader(resp.Body)
reader.Comment = '#'
reader.FieldsPerRecord = -1
data, err := reader.ReadAll()
if err != nil {
fmt.Println(err)
os.Exit(1)
}
gauges := make([]interface{}, 0)
for _, row := range data {
source := os.Getenv("LIBRATO_SOURCE")
prefix := strings.Join([]string{"haproxy", row[0]}, ".")
switch row[1] {
case "BACKEND":
prefix = strings.Join([]string{prefix, "backend"}, ".")
case "FRONTEND":
prefix = strings.Join([]string{prefix, "frontend"}, ".")
default:
source = strings.Join([]string{source, row[1]}, ".")
prefix = strings.Join([]string{prefix, "upstream"}, ".")
}
gauges = addGauge(gauges, source, prefix, "qcur", row[2])
gauges = addGauge(gauges, source, prefix, "qmax", row[3])
gauges = addGauge(gauges, source, prefix, "scur", row[4])
gauges = addGauge(gauges, source, prefix, "smax", row[5])
gauges = addGauge(gauges, source, prefix, "downtime", row[24])
gauges = addGauge(gauges, source, prefix, "hrsp_1xx", row[39])
gauges = addGauge(gauges, source, prefix, "hrsp_2xx", row[40])
gauges = addGauge(gauges, source, prefix, "hrsp_3xx", row[41])
gauges = addGauge(gauges, source, prefix, "hrsp_4xx", row[42])
gauges = addGauge(gauges, source, prefix, "hrsp_5xx", row[43])
}
metrics := &librato.Metrics{Gauges: gauges}
err = client.PostMetrics(metrics)
if err != nil {
fmt.Println(err)
}
}
func sendMetricsLibrato(met *librato.Client, ts time.Time, counters map[string]int64, histograms map[string]metrics.Histogram) error {
var metrics librato.Metrics
for name, value := range counters {
metrics.Counters = append(metrics.Counters, librato.Metric{Name: name, Value: float64(value)})
}
for name, hist := range histograms {
metrics.Gauges = append(metrics.Gauges, librato.Metric{Name: name, Value: hist.Distribution().Mean()})
for i, p := range hist.Percentiles(percentiles) {
metrics.Gauges = append(metrics.Gauges,
librato.Metric{Name: fmt.Sprintf("%s.%s", name, percentileNames[i]), Value: float64(p)})
}
}
return met.PostMetrics(&metrics)
}