So I have added prometheus client histogram following this.
<https://prometheus.io/docs/practices/histograms/#count-and-sum-of-observations>
Mine is spring application and I have added micrometer-registry-prometheus
dependency.
Any other configuration needed so that histogram data is published to
prometheus?



On Tue, Jan 12, 2021 at 6:18 PM Manish G <[email protected]>
wrote:

> Thanks Matthias. It clears lots of things..
>
> On Tue, Jan 12, 2021 at 6:04 PM Matthias Rampke <[email protected]>
> wrote:
>
>> If you keep adding up the time the function has taken across all
>> invocations, that is also a counter. You can get the average run time over,
>> say, 5 minutes by tracking
>>
>> rate(function_run_time_sum[5m]) / rate(function_run_time_count[5m])
>>
>> Using native Prometheus clients, you get both if you use either a summary
>> or a histogram and .observe() each invocation time as it happens.
>>
>> /MR
>>
>>
>> On Tue, Jan 12, 2021 at 6:37 AM Manish G <[email protected]>
>> wrote:
>>
>>> Hi All,
>>>
>>> We have some flink metrics configured for our flatmap functions. We have
>>> basically a gauge which keeps track of total time function has taken so far
>>> and a counter which keeps track of number of times function has been
>>> invoked.
>>>
>>> We want to capture average time taken by the function in grafana panel.
>>> Can we use above 2 metrics for this purpose(gauge/counter) or should we
>>> use what is explained here
>>> <https://ci.apache.org/projects/flink/flink-docs-stable/ops/metrics.html#latency-tracking>
>>> .
>>>
>>> WIth regards
>>>
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>>> .
>>>
>>

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