Improving instrumentation. (#1042)

configuration.go

@@ -331,7 +331,7 @@ func NewTraefikDefaultPointersConfiguration() *TraefikConfiguration {
 	// default Metrics
 	defaultWeb.Metrics = &types.Metrics{
 		Prometheus: &types.Prometheus{
-			Buckets: types.Buckets{100, 300, 1200, 5000},
+			Buckets: types.Buckets{0.1, 0.3, 1.2, 5},
 		},
 	}
 

docs/toml.md

@@ -544,6 +544,10 @@ address = ":8080"
 # [web.statistics]
 #   RecentErrors = 10
 #
+# To enable Traefik to export internal metrics to Prometheus
+# [web.metrics.prometheus]
+#   Buckets=[0.1,0.3,1.2,5]
+#
 # To enable basic auth on the webui
 # with 2 user/pass: test:test and test2:test2
 # Passwords can be encoded in MD5, SHA1 and BCrypt: you can use htpasswd to generate those ones
@@ -718,7 +722,7 @@ $ curl -s "http://localhost:8080/api" | jq .
 - `/metrics`: You can enable Traefik to export internal metrics to different monitoring systems (Only Prometheus is supported at the moment).
 
 ```bash
-$ traefik --web.metrics.prometheus --web.metrics.prometheus.buckets="100,300"
+$ traefik --web.metrics.prometheus --web.metrics.prometheus.buckets="0.1,0.3,1.2,5"
 ```
 
 ## Docker backend

middlewares/metrics.go

@@ -37,7 +37,7 @@ func (m *MetricsWrapper) ServeHTTP(rw http.ResponseWriter, r *http.Request, next
 	next(prw, r)
 	labels := []string{"code", strconv.Itoa(prw.StatusCode()), "method", r.Method}
 	m.Impl.getReqsCounter().With(labels...).Add(1)
-	m.Impl.getLatencyHistogram().With(labels...).Observe(float64(time.Since(start).Nanoseconds()) / 1000000)
+	m.Impl.getLatencyHistogram().Observe(float64(time.Since(start).Seconds()))
 }
 
 func (rw *responseRecorder) StatusCode() int {

middlewares/prometheus.go

@@ -10,12 +10,12 @@ import (
 )
 
 const (
-	reqsName    = "requests_total"
-	latencyName = "request_duration_milliseconds"
+	reqsName    = "traefik_requests_total"
+	latencyName = "traefik_request_duration_seconds"
 )
 
-// Prometheus is an Implementation for Metrics that exposes prometheus metrics for the number of requests,
-// the latency and the response size, partitioned by status code and method.
+// Prometheus is an Implementation for Metrics that exposes prometheus metrics for the latency
+// and the number of requests partitioned by status code and method.
 type Prometheus struct {
 	reqsCounter      metrics.Counter
 	latencyHistogram metrics.Histogram
@@ -45,17 +45,17 @@ func NewPrometheus(name string, config *types.Prometheus) *Prometheus {
 	if config.Buckets != nil {
 		buckets = config.Buckets
 	} else {
-		buckets = []float64{100, 300, 1200, 5000}
+		buckets = []float64{0.1, 0.3, 1.2, 5}
 	}
 
 	m.latencyHistogram = prometheus.NewHistogramFrom(
 		stdprometheus.HistogramOpts{
 			Name:        latencyName,
-			Help:        "How long it took to process the request, partitioned by status code and method.",
+			Help:        "How long it took to process the request.",
 			ConstLabels: stdprometheus.Labels{"service": name},
 			Buckets:     buckets,
 		},
-		[]string{"code", "method"},
+		[]string{},
 	)
 	return &m
 }

traefik.sample.toml

@@ -326,6 +326,11 @@
 # Enable more detailed statistics
 # [web.statistics]
 #   RecentErrors = 10
+#
+# To enable Traefik to export internal metrics to Prometheus
+# [web.metrics.prometheus]
+#   Buckets=[0.1,0.3,1.2,5]
+#
 
 # To enable basic auth on the webui
 # with 2 user/pass: test:test and test2:test2