Hi Ben,
I've read the link you gave me and I will try to answer the best I can.

> What problem are you solving for?
I want to keep historical data for longer periods with less disk space used.
I currently keep around 4 month of data for around 1.3T of disk space.
and I would love to have 1-2 years of data without having to buy 20TB
disks :)

> Why do you think you need this?
For debugging and monitoring I only need the last couple of days with
a raw resolution. And seeing trends can be downsampled (is this the
correct term?) because it is just historical trend data.
I think it's rather a use case than an actual problem I am working on.
I would like to see in the past how things changed and overlay it with
timestamps from changes. Things begin to looks way different when you
check the past.

> You say "a lot of endpoints", but what is a lot? 1,000? 10,000? 100,000? 
> 1,000,000? How many series?
A couple hundred endpoints with around 1.5m of series. But I don't
think that this information is helpful in the current context.

Thank you for your time and effort to help me with my stupid little problem.
Cheers
 Boris

Am Do., 15. Juni 2023 um 06:24 Uhr schrieb Ben Kochie <[email protected]>:
>
> My first question is "why?" (https://xyproblem.info/)
>
> What problem are you solving for? Why do you think you need this?
>
> You say "a lot of endpoints", but what is a lot? 1,000? 10,000? 100,000? 
> 1,000,000? How many series?
>
> On Thu, Jun 15, 2023 at 6:21 AM Boris <[email protected]> wrote:
>>
>> Dear prometheus community,
>>
>> my prometheus scrapes a lot of endpoints and I only need to 10s for a month. 
>> After that I would like to rollup the data to 5m averages and after 6 months 
>> I would like to have only hourly averages.
>>
>> So I can have quite a long time of data and can see changes over a long time 
>> with the same dashboard.
>>
>> I am sorry to ask this question but it seems like I don't have the correct 
>> search term. Downsampling seems to keep the raw data and all searches lead 
>> me to timescaledb.
>>
>> Cheers
>>  Boris
>>
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