Time spent serializing value being written to Kafka when publishing to the chatter topic for each kind of chatter

Metric Namekafka-chatter-by-kind-serialize
Metric TypeTimer
Introduced Version1.0.0
Specific Fields for this Metric  
kindSubclass of statistical metric 
Standard Fields for this Metric  
@hostVHost ID 
@idA unique identifier for the event. Can be used to refer to and re-find specific events. 
@ingesttimestampThe timestamp of when the event was ingested. The value is milliseconds-since-epoch. 
@timestampTimestamp in milliseconds since the epoch (1st Jan 1970, 00:00) of the event, e.g. 2022-11-22 09:50:20.100 if the event has an identifiable timestamp. 
@timestamp.nanosExtended precision of timestamp below millisecond. E.g. 295000 
@timezoneThe timezone the event originated in, if known. 
countCounter of the number of events since LogScale was started. 
duration_unitUnit of measurement for duration for event 
m11 minute moving average 
m1515 minute moving average 
m55 minute moving average 
maxMaximum value of the metric within the time period 
meanMean value of the metric within the time period 
mean_rateMoving mean rate since the application started. 
medianMedian value of the metric within the time period 
minMinimum value of the metric within the time period 
nameName of metric 
p7575th percentile of the metric within the time period 
p9595th percentile of the metric within the time period 
p9898th percentile of the metric within the time period 
p9999th percentile of the metric within the time period 
p99999.9th percentile of the metric within the time period 
rate_unitRate per unit for metric event 
stddevStandard deviation of the metric within the time period 
typeMetric type 
window_countCounter of the number of events within the current window 

Example Metric Record:

json
{
   "#repo" : "humio-metrics",
   "#type" : "metrics",
   "@host" : "192",
   "@id" : "VOHeBcOQqUwnABO4Dfm96GpO_18634_843_1780822866",
   "@ingesttimestamp" : "1780822866604",
   "@timestamp" : 1780822866550,
   "@timestamp.nanos" : "0",
   "@timezone" : "UTC",
   "count" : "1650",
   "duration_unit" : "milliseconds",
   "kind" : "datasource-currentsegment-stats",
   "m1" : "0.14738596185982047",
   "m15" : "0.14738596185982047",
   "m5" : "0.14738596185982047",
   "max" : "0.020546",
   "mean" : "0.003399859468839944",
   "mean_rate" : "0.14738596185982047",
   "median" : "0.002069",
   "min" : "2.92E-4",
   "name" : "kafka-chatter-by-kind-serialize",
   "p75" : "0.0029709999999999997",
   "p95" : "0.00877",
   "p98" : "0.012204",
   "p99" : "0.012204",
   "p999" : "0.012204",
   "rate_unit" : "events/second",
   "stddev" : "0.0028372258104864003",
   "type" : "TIMER",
   "window_count" : "1028"
}