I think I will just kick the bucket and move my Promstack to a dedicated 
single node AWS ECS cluster, this way I can use EBS for persistent storage

Tim Schwenke schrieb am Montag, 26. Oktober 2020 um 14:10:49 UTC+1:

> 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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