Those numbers seem to be well within the expected normal range.

One thing we noticed is that Kubernetes kubelet/cAdvisor has a lot of less
useful/duplicate metrics exposed.

This is the metric filter we ended up with for "/metrics/cadvisor"

https://gist.github.com/SuperQ/d61e405e3464da4a766808f6329c5c1e

On Wed, May 25, 2022 at 2:55 PM [email protected] <[email protected]>
wrote:

> Sounds about right.
> I do have a number of instances with 6-6.4M time series and they use
> around 20-35GB of go_memstats_alloc_bytes and around 66-96GB of RSS memory.
> That's all with GOGC=40.
> go_memstats_alloc_bytes / prometheus_tsdb_head_series is  between 4-8KB on
> most of them.
>
> On Wednesday, 25 May 2022 at 13:45:09 UTC+1 [email protected] wrote:
>
>> Thanks for this info, so if I am understanding correctly.
>>
>> prometheus_tsdb_head_series returns 6181063 , when graphing this it
>> almost looks vertical.
>>
>> go_memstats_alloc_bytes / prometheus_tsdb_head_series returns  6741
>>
>> Doing a calculation on that, would come up to roughly 41GB , prior to any
>> other memory utilization requirements of Prometheus. With that said then
>> you double it, so looking more like 82GB of memory + allocation for
>> prometheus overhead. Does this seem about accurate?
>>
>> Thanks!
>>
>>
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