Esempio n. 1
0
func main() {
	foo_rpc_latency := metrics.CreateHistogram(&metrics.HistogramSpecification{
		Starts:                metrics.EquallySizedBucketsFor(0, 200, 4),
		BucketMaker:           metrics.AccumulatingBucketBuilder(metrics.EvictAndReplaceWith(10, maths.Average), 50),
		ReportablePercentiles: []float64{0.01, 0.05, 0.5, 0.90, 0.99},
	})
	foo_rpc_calls := &metrics.GaugeMetric{}
	bar_rpc_latency := metrics.CreateHistogram(&metrics.HistogramSpecification{
		Starts:                metrics.EquallySizedBucketsFor(0, 200, 4),
		BucketMaker:           metrics.AccumulatingBucketBuilder(metrics.EvictAndReplaceWith(10, maths.Average), 50),
		ReportablePercentiles: []float64{0.01, 0.05, 0.5, 0.90, 0.99},
	})
	bar_rpc_calls := &metrics.GaugeMetric{}
	zed_rpc_latency := metrics.CreateHistogram(&metrics.HistogramSpecification{
		Starts:                metrics.EquallySizedBucketsFor(0, 200, 4),
		BucketMaker:           metrics.AccumulatingBucketBuilder(metrics.EvictAndReplaceWith(10, maths.Average), 50),
		ReportablePercentiles: []float64{0.01, 0.05, 0.5, 0.90, 0.99},
	})
	zed_rpc_calls := &metrics.GaugeMetric{}

	metrics := registry.NewRegistry()
	metrics.Register("rpc_latency_foo_microseconds", foo_rpc_latency)
	metrics.Register("rpc_calls_foo_total", foo_rpc_calls)
	metrics.Register("rpc_latency_bar_microseconds", bar_rpc_latency)
	metrics.Register("rpc_calls_bar_total", bar_rpc_calls)
	metrics.Register("rpc_latency_zed_microseconds", zed_rpc_latency)
	metrics.Register("rpc_calls_zed_total", zed_rpc_calls)

	go func() {
		for {
			foo_rpc_latency.Add(rand.Float64() * 200)
			foo_rpc_calls.Increment()

			bar_rpc_latency.Add((rand.NormFloat64() * 10.0) + 100.0)
			bar_rpc_calls.Increment()

			zed_rpc_latency.Add(rand.ExpFloat64())
			zed_rpc_calls.Increment()

			time.Sleep(100 * time.Millisecond)
		}
	}()

	exporter := metrics.YieldExporter()

	http.Handle("/metrics.json", exporter)
	http.ListenAndServe(":8080", nil)
}
Esempio n. 2
0
	getLabelNameFingerprints    = "get_label_name_fingerprints"
	getMetricForFingerprint     = "get_metric_for_fingerprint"
	getRangeValues              = "get_range_values"
	getValueAtTime              = "get_value_at_time"
	hasIndexMetric              = "has_index_metric"
	hasLabelName                = "has_label_name"
	hasLabelPair                = "has_label_pair"
	indexMetric                 = "index_metric"
	setLabelNameFingerprints    = "set_label_name_fingerprints"
	setLabelPairFingerprints    = "set_label_pair_fingerprints"
)

var (
	diskLatencyHistogram = &metrics.HistogramSpecification{
		Starts:                metrics.LogarithmicSizedBucketsFor(0, 5000),
		BucketBuilder:         metrics.AccumulatingBucketBuilder(metrics.EvictAndReplaceWith(10, maths.Average), 100),
		ReportablePercentiles: []float64{0.01, 0.05, 0.5, 0.90, 0.99},
	}

	storageOperations = metrics.NewCounter()
	storageLatency    = metrics.NewHistogram(diskLatencyHistogram)
)

func recordOutcome(counter metrics.Counter, latency metrics.Histogram, duration time.Duration, err error, success, failure map[string]string) {
	labels := success
	if err != nil {
		labels = failure
	}

	counter.Increment(labels)
	latency.Add(labels, float64(duration/time.Microsecond))