Thanks for the explanation. Can you help me understand what this metric signify then?
Also, count would be the number of messages is what I thought. -Amitav On Sat, Feb 2, 2019 at 11:45 PM Kamal Chandraprakash < kamal.chandraprak...@gmail.com> wrote: > In Yammer metrics, the 15MinuteRate provided by the Meter is not a pure > average for the last 15 minutes. It's a Exponential Weighted Moving > Average. > The value is calculated by taking 36% of weighted average from the broker > start time and 64 % of weighted average from the last 15 minutes. > > I initially thought this metric is the total volume of bytes that came in > for that topic in last 15 mins. So, if I collect this metric every 15 mins, > then I will have total volume over time by calculating the sum of data > points in the time interval. > > You can use `count` instead of `15MinuteRate` to find out the total volume > of bytes that came in a topic for last 15 mins by taking diff of the two > points. > > > > On Sat, Feb 2, 2019 at 8:39 PM Amitav Mohanty <amitavmohant...@gmail.com> > wrote: > > > Hi > > > > I am trying to measure incoming bytes over time. I am trying collect the > > following metric and apply integral function over a set of data points > on a > > time series. > > > > kafka.server:type=BrokerTopicMetrics,name=BytesInPerSec,topic=my_topic > > FifteenMinuteRate > > > > It seems that the number I am getting is much less than expected. So, I > am > > suspecting that my understanding of this metric is wrong. > > > > I initially thought this metric is the total volume of bytes that came in > > for that topic in last 15 mins. So, if I collect this metric every 15 > mins, > > then I will have total volume over time by calculating the sum of data > > points in the time interval. > > > > Please confirm if my understanding is correct. > > > > Regards, > > Amitav > > >
