Thanks for your answers, @mierzwa  and Ben

@mierzwa, I have checked the robust perception blog post you have linked 
and it really seems like my Prometheus is using too much memory. I have 
only around 20k series, but with quite high cardinality over a long period 
of time. If we just look at a few hours or days the churn should be very 
low / zero and only increase when ever an API endpoint gets called the 
first time and so on.

@Ben, the Prometheus is using AWS EFS for storage and so the disk size 
should be unlimited. It sits currently at just 13 GB while resident size is 
at around 2 GB and virtual memory around 7 GB. The node Prometheus is 
running on has 8 GB of RAM. Now that you have mentioned storage, I have 
read quite some time ago that Prometheus does not officially support NFS 
and I think the AWS EFS volume is mounted via NFS into the node.

---------------------------------------------------------

Here is the info I get from the Prometheus web interface:

https://trallnag.htmlsave.net/ 

This links to a html document that I saved 



[email protected] schrieb am Montag, 26. Oktober 2020 um 12:57:58 UTC+1:

> It looks like the head chunks has been growing without compacting. Is the 
> disk full? What's in the logs? What's in the data directory?
>
> On Mon, Oct 26, 2020 at 11:45 AM Tim Schwenke <[email protected]> 
> wrote:
>
>> Is it expected that Prometheus will take all the memory it gets over 
>> time? I'm running Prometheus in a very "stable" environment with about 200 
>> containers / targets in addition with Cadvisor and Node Exporter over 3 to 
>> 4 nodes. And now after a few weeks of uptime Prometheus reached the memory 
>> limits and I get memory limit hit events all the time.
>>
>>  Here are screenshots of relevant dashboards:
>>
>> https://github.com/trallnag/random-data/issues/1#issuecomment-716463651
>>
>> Could be something wrong with my setup or is it all ok? The performance 
>> of queries in Grafana etc is not impacted
>>
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>>
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