grafana/pkg/infra/metrics/frontendmetrics.go

47 lines
1.8 KiB
Go

package metrics
import "github.com/prometheus/client_golang/prometheus"
// PostPostFrontendMetricsCommand sent by frontend to record frontend metrics
type PostFrontendMetricsCommand struct {
Events []FrontendMetricEvent `json:"events"`
}
// FrontendMetricEvent a single metric measurement event
type FrontendMetricEvent struct {
Name string `json:"name"`
Value float64 `json:"value"`
}
// FrontendMetricsRecorder handles the recording of the event, ie passes it to a prometheus metric
type FrontendMetricsRecorder func(event FrontendMetricEvent)
// FrontendMetrics contains all the valid frontend metrics and a handler function for recording events
var FrontendMetrics map[string]FrontendMetricsRecorder = map[string]FrontendMetricsRecorder{}
func registerFrontendHistogram(reg prometheus.Registerer, name string, help string) {
defBuckets := []float64{.1, .25, .5, 1, 1.5, 2, 5, 10, 20, 40}
histogram := prometheus.NewHistogram(prometheus.HistogramOpts{
Name: name,
Help: help,
Buckets: defBuckets,
Namespace: ExporterName,
})
FrontendMetrics[name] = func(event FrontendMetricEvent) {
histogram.Observe(event.Value)
}
reg.MustRegister(histogram)
}
func initFrontendMetrics(r prometheus.Registerer) {
registerFrontendHistogram(r, "frontend_boot_load_time_seconds", "Frontend boot time measurement")
registerFrontendHistogram(r, "frontend_boot_first_paint_time_seconds", "Frontend boot first paint")
registerFrontendHistogram(r, "frontend_boot_first_contentful_paint_time_seconds", "Frontend boot first contentful paint")
registerFrontendHistogram(r, "frontend_boot_js_done_time_seconds", "Frontend boot initial js load")
registerFrontendHistogram(r, "frontend_boot_css_time_seconds", "Frontend boot initial css load")
registerFrontendHistogram(r, "frontend_plugins_preload_ms", "Frontend preload plugin time measurement")
}