Hi Stuart,
Thanks for pointing this out. We had a system wide ulimit setting and
for prometheus we had set the memory limit as 1.5G with LimitAS=1.5G
in the prometheus systemd service file. Earlier versions i.e 1.16.0
was used to consume only 1G at any given time so we had set it as 1.5G
as max l
Greetings Prometheus users,
I have a function that is called a few times *within a loop*, and my idea
was that the function would populate the .prom file by adding a new line
every time, with the same metric name but with a different label. For
example:
sv_api_response{method="getUserByID"} 1
Hi Vishnu,
Did you have any luck in fixing this issue? Any solution?
I'm having a similar problem and still couldn't find an answer.
Regards,
Daniel
On Tuesday, April 28, 2020 at 3:05:11 PM UTC-4 vishnu...@gmail.com wrote:
> I am writing a node_exporter text_file export using python client librar
Thanks.
On Wednesday, February 17, 2021 at 4:00:59 PM UTC-5 Stuart Clark wrote:
> On 17/02/2021 20:20, Johny wrote:
> > Thanks. THis is helpful.
> >
> > From performance standpoint, is there a difference in having a 1
> > metric with 100x cardinality vs 10 metrics with 10x cardinality?
>
> To s
On 17/02/2021 20:20, Johny wrote:
Thanks. THis is helpful.
From performance standpoint, is there a difference in having a 1
metric with 100x cardinality vs 10 metrics with 10x cardinality?
To some degree that depends how you run queries.
In general you'd probably expect to have queries which
Thanks. THis is helpful.
>From performance standpoint, is there a difference in having a 1 metric
with 100x cardinality vs 10 metrics with 10x cardinality?
On Wednesday, February 17, 2021 at 2:18:06 PM UTC-5 Stuart Clark wrote:
> On 17/02/2021 18:48, Johny wrote:
> > Is there a limit on the nu
On 17/02/2021 18:48, Johny wrote:
Is there a limit on the number of time series per metric
(cardinality)? My metric has cardinality of 100,000 with a tag for
each process in my infrastructure. I was wondering if this causes
performance or other issues. I couldn't find official guidance on
this
Is there a limit on the number of time series per metric (cardinality)? My
metric has cardinality of 100,000 with a tag for each process in my
infrastructure. I was wondering if this causes performance or other issues.
I couldn't find official guidance on this.
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