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)
}
const (
jsonContentType = "application/json"
contentType = "Content-Type"
jsonSuffix = ".json"
)
/*
Boilerplate metrics about the metrics reporting subservice. These are only
exposed if the DefaultRegistry's exporter is hooked into the HTTP request
handler.
*/
var requestCount *metrics.GaugeMetric = &metrics.GaugeMetric{}
var requestLatencyLogarithmicBuckets []float64 = metrics.LogarithmicSizedBucketsFor(0, 1000)
var requestLatencyEqualBuckets []float64 = metrics.EquallySizedBucketsFor(0, 1000, 10)
var requestLatencyLogarithmicAccumulating *metrics.Histogram = metrics.CreateHistogram(&metrics.HistogramSpecification{
Starts: requestLatencyLogarithmicBuckets,
BucketMaker: metrics.AccumulatingBucketBuilder(metrics.EvictAndReplaceWith(50, maths.Average), 1000),
ReportablePercentiles: []float64{0.01, 0.05, 0.5, 0.9, 0.99},
})
var requestLatencyEqualAccumulating *metrics.Histogram = metrics.CreateHistogram(&metrics.HistogramSpecification{
Starts: requestLatencyEqualBuckets,
BucketMaker: metrics.AccumulatingBucketBuilder(metrics.EvictAndReplaceWith(50, maths.Average), 1000),
ReportablePercentiles: []float64{0.01, 0.05, 0.5, 0.9, 0.99},
})
var requestLatencyLogarithmicTallying *metrics.Histogram = metrics.CreateHistogram(&metrics.HistogramSpecification{
Starts: requestLatencyLogarithmicBuckets,
BucketMaker: metrics.TallyingBucketBuilder,
ReportablePercentiles: []float64{0.01, 0.05, 0.5, 0.9, 0.99},
})