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From Arnaud Lawson <arnaud.law...@velos.io>
Subject Re: Kafka Queue Depth Metrics
Date Tue, 01 Apr 2014 14:53:48 GMT
Ok thank you.

Arnaud-


On Tue, Apr 1, 2014 at 10:50 AM, Jun Rao <junrao@gmail.com> wrote:

> Search for MaxLag in http://kafka.apache.org/documentation.html#monitoring
> .
> Note that this is only available in 0.8.0 and above.
>
> Thanks,
>
> Jun
>
>
> On Tue, Apr 1, 2014 at 7:21 AM, Arnaud Lawson <arnaud.lawson@velos.io
> >wrote:
>
> > Thanks Jun,
> >
> > So on the consumer side is the metric (measuring the # of messages a
> > consumer is behind) called getOffsetLag?
> >
> > Reference:
> >
> >
> https://cwiki.apache.org/confluence/display/KAFKA/Operations#Operations-Monitoring
> >
> >
> > Arnaud-
> >
> >
> > On Tue, Apr 1, 2014 at 12:16 AM, Jun Rao <junrao@gmail.com> wrote:
> >
> > > We also have a metric in the consumer that measures the # of messages a
> > > consumer is behind.
> > >
> > > Thanks,
> > >
> > > Jun
> > >
> > >
> > > On Mon, Mar 31, 2014 at 8:36 AM, Arnaud Lawson <arnaud.lawson@velos.io
> > > >wrote:
> > >
> > > > Hi,
> > > >
> > > > Does anyone know what the JMX metric(s) are for determining the depth
> > of
> > > > the kafka queue? I basically want to know the amount of messages that
> > are
> > > > on the queue at a certain point in time. Please let me know if there
> > is a
> > > > way to find that out. Thanks.
> > > >
> > > > --
> > > >
> > > > Arnaud Lawson
> > > > ,
> > > >
> > > > Systems Operations Engineer
> > > > *VELOS*
> > > > Accelerating Machine Learning.
> > > >
> > > > 440 9th AVE, 11TH FLOOR, NEW YORK, NY 10001
> > > > C: (240) 393 - 6703
> > > > F: 646.349.4063
> > > > E: arnaud.lawson@velos.io
> > > > W: www.velos.io
> > > >
> > >
> >
> >
> >
> > --
> >
> > Arnaud Lawson
> > ,
> >
> > Systems Operations Engineer
> > *VELOS*
> > Accelerating Machine Learning.
> >
> > 440 9th AVE, 11TH FLOOR, NEW YORK, NY 10001
> > C: (240) 393 - 6703
> > F: 646.349.4063
> > E: arnaud.lawson@velos.io
> > W: www.velos.io
> >
>



-- 

Arnaud Lawson
,

Systems Operations Engineer
*VELOS*
Accelerating Machine Learning.

440 9th AVE, 11TH FLOOR, NEW YORK, NY 10001
C: (240) 393 - 6703
F: 646.349.4063
E: arnaud.lawson@velos.io
W: www.velos.io

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