On 16/05/2020 10:18, Ben Kochie wrote:
On Sat, May 16, 2020 at 11:13 AM Julius Volz <[email protected]
<mailto:[email protected]>> wrote:
On Sat, May 16, 2020 at 10:25 AM Ben Kochie <[email protected]
<mailto:[email protected]>> wrote:
Thanks for the link to the other survey. That's pretty good.
On Fri, May 15, 2020 at 7:27 PM 'Tom Lee' via Prometheus Users
<[email protected]
<mailto:[email protected]>> wrote:
Hi Richard,
Reading between the lines it sounds like we're
/potentially/ talking about a broader/larger "State of
Clojure
<https://clojure.org/news/2020/02/20/state-of-clojure-2020>"
type thing for Prometheus. Is that accurate?
Certainly don't mind the results being public. My only
real concern is timelines: we were hoping to use some of
the raw data to help advise some load testing on our end,
and things are already looking pretty aggressive. If we're
looking at something that's going to take weeks or more to
start seeing results rolling in we probably won't quite
get the data we were hoping to get in time. From a
purely selfish perspective we'd be pretty disappointed to
go forward without data from "the source", so to speak. Of
course, I totally understand the team's actions here. I'm
just whining to myself.
Timelines aside, we'd be excited to see something
"official" in the longer term. It would be useful for
engineers like myself, and I know there are product
managers and research folks lurking our virtual halls who
would love such readily available data for future efforts.
The questions from our survey:
* Roughly how many Prometheus *servers* are you
operationally responsible for?
* Of all the Prometheus servers that you are responsible
for, which version would you say is the most widely
deployed?
The first two questions are good. I might modify the first
one to clarify with/without HA. For example, we have 21
Prometheus servers, but 7 of those are duplicates for HA.
* How many unique metrics are reporting across all of
your Prometheus servers?
* How many unique *timeseries* are reporting across all
of your Prometheus servers?
These two need to be clarified for Prometheus. We tend to use
the terms metrics and time-series interchangeably. Are you
asking about unique metric names?
I guess the first question is about unique metric names. The
problem is that there's no easy way to get the number of unique
metric names across multiple servers, as there might be anything
between 0 - 100% overlap of metric names between Prometheus
servers, and getting users to calculate a set union might be too
much work. Also, time series are more relevant than number of
metrics in Prometheus, so maybe we should only keep the second
question?
Yes, I'm interested in what Tom's intent is behind the question. From
a Prometheus perspective, the total time-series load is most
important. But it might be different for his use case.
We should probably include some specific PromQL queries to make the
results easy to gather for survey participants.
I think it would be really useful to give details of how to find the
answers to all the questions - simple command line commands, etc -
PromQL query, python -V, etc.
It wants to be as easy as possible to answer in my opinion.
Would we be interested in the usage of the wider ecosystem? E.g usage of
different SD methods, Alertmanager integrations, remote read/write
systems, Thanos/Cortex/VictoriaMetrics?
* If you use Grafana to visualize your Prometheus data,
what version of Grafana do you typically use?
* What value do you typically use for the
"scrape_interval" config setting in your Prometheus
servers?
* Is there anything else you would like to tell us about
your Prometheus deployment(s)? For example,
interesting challenges, pain points, or quirks of your
configuration?
I have a few additional questions that could be added to the list.
* How many unique exporter/target types do you have?
* What is your samples/second ingestion rate across all
Prometheus servers?
* What is your general metric retention time?
* Do you use external storage (Federation/remote_write/etc)
* If yes, which external storage system(s)?
Look forward to whatever might eventuate here, those big
community surveys are always a lot of fun to read through.
Cheers,
Tom
On Fri, May 15, 2020 at 9:25 AM Richard Hartmann
<[email protected]
<mailto:[email protected]>> wrote:
Hi Tom,
after some internal deliberation, we think it would be
unfair to give
any single survey our official blessing, and running
more than once
every, say, year seems to be too much for users, too.
On the other
hand, user surveys make sense for everyone.
Would you be OK with sending your questions to
[email protected]
<mailto:[email protected]> or as a
reply in this thread? We
would then publish them for comments/feedback and run
the survey under
the Prometheus umbrella, sharing replies publicly.
Best,
Richard
On Wed, May 13, 2020 at 9:44 PM 'Tom Lee' via
Prometheus Users
<[email protected]
<mailto:[email protected]>> wrote:
>
> Understood Julius, appreciate the transparency.
Thank you!
>
> On Wed, May 13, 2020 at 12:37 PM Julius Volz
<[email protected]
<mailto:[email protected]>> wrote:
>>
>> Hi Tom,
>>
>> Thanks for checking in first! We're currently
discussing within the Prometheus Team how we would
prefer to handle such requests in general (so that
things remain fair between companies, etc.) and will
get back to you as soon.
>>
>> Regards,
>> Julius
>>
>> On Wed, May 13, 2020 at 7:21 PM 'Tom Lee' via
Prometheus Users <[email protected]
<mailto:[email protected]>> wrote:
>>>
>>> Hi folks,
>>>
>>> Full disclosure: I'm an engineer from New Relic
(https://newrelic.com/). We've been looking into
improving our open source monitoring story and
Prometheus is a key piece of that. Right now, though,
there are some pieces of the puzzle that we can't
easily dig into without more input from the Prometheus
community at large.
>>>
>>> Is this mailing list an okay place to send a
Google Forms type survey with maybe half a dozen
questions? And if not, can folks suggest somewhere
that might be more appropriate?
>>>
>>> Cheers,
>>> Tom
>>>
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>>
>>
>>
>> --
>> Julius Volz
>> PromLabs - promlabs.com <http://promlabs.com>
>
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