That is a different question than you asked.

Time series depends on the jobs you are scraping. This varies greatly from
one user to the next.

You can graph avg_over_time(prometheus_tsdb_head_series[$__interval]) in
Grafana to see the trend over time.

On Wed, Nov 23, 2022 at 1:41 PM Julio Leal <julio.c.l...@gmail.com> wrote:

> Ben, thank you so much for your answer.
> My problem is that the prometheus_tsdb_head_series changes a lot over time.
> Is there any way to get how much my timeseries is increasing over time
> (for example, in the last 3 months)?
>
> On Wed, Nov 23, 2022 at 7:36 AM Ben Kochie <sup...@gmail.com> wrote:
>
>> I usually recommend looking at `process_resident_memory_bytes /
>> prometheus_tsdb_head_series`.
>>
>> The current typical use is around 8KiB per series, mainly due to the
>> indexing of series.
>>
>> On Wed, Nov 23, 2022 at 2:14 AM Julio Leal <julio.c.l...@gmail.com>
>> wrote:
>>
>>> Hi everyone
>>> I'm trying understand and create an end of life of my prometheus
>>> instance.
>>> I think that my promethes will die as my number of timeseries increases
>>> and I need more memory ram.
>>> How can I create a correlation between my timeseries growth and my
>>> memory ram growth?
>>>
>>> I already try to use:
>>>
>>>    1. container_memory_working_set_bytes with
>>>    prometheus_tsdb_head_series
>>>    2. go_memstats_alloc_bytes with prometheus_tsdb_head_series
>>>    3. go_memstats_heap_inuse_bytes with prometheus_tsdb_head_series
>>>    4. process_resident_memory_bytes with prometheus_tsdb_head_series
>>>
>>>
>>> The combination closest that I can was number 3 that I can a correlation
>>> of 0.56
>>>
>>> Is there another way to create this correlation between Memory Ram and
>>> timeseries to mensure end of life or the growth of the prometheus instance?
>>>
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>>

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