Thanks Robert.

Yes we monitor many of the Flink internal metric, which is why I was
surprised that we were unable to notice the warning signs before our
consumers notified us.

It would be nice to measure the topic vs consumer group offset of the flink
consumer.

On Tue, Jun 16, 2020 at 1:57 AM Robert Metzger <rmetz...@apache.org> wrote:

> Hi Padarn,
> I usually recommend the approach you described: accessing/monitoring the
> lag via Flink's metrics system. Sometimes it also makes sense to consider
> application level metrics.
> I checked Youtube for past Flink Forward talks, but I couldn't find a
> video. I'm sure there were users talking about best practices for
> monitoring Flink in the past ...
>
> Best,
> Robert
>
> On Sun, Jun 14, 2020 at 5:47 AM Padarn Wilson <padarn.wil...@grab.com>
> wrote:
>
>> Hi all,
>>
>> I'm looking for some advice on how other people measure consumer lag for
>> Kafka consumers. Recently we had an application that looked like it was
>> performing identically to before, but all of a sudden the throughput of the
>> job decreased dramatically. However it was not clear from our Flink
>> metrics, only from the lag in time vs watermark time that our consumers
>> were measuring.
>>
>> How do people approach measuring this?
>>
>> Thanks,
>> Padarn
>>
>>
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