Right: high cardinality is bad. But what matters is the number of
timeseries which have ingested a point in the last ~2 hours. Whether each
of those time series ingests 1 data point or 10,000 data points in 2 hours
makes almost no difference. Therefore, scraping them less frequently
doesn't
This label scales as users interact with our server and create new
accounts. It is problematic right now because it currently is added to all
metrics.
On Monday, March 27, 2023 at 1:39:57 AM UTC-7 Stuart Clark wrote:
> On 2023-03-25 07:30, Kevin Z wrote:
> > Hi,
> >
> > We have a server that
On 2023-03-25 07:30, Kevin Z wrote:
Hi,
We have a server that has a high cardinality of metrics, mainly due to
a label that is tagged on the majority of the metrics. However, most
of our dashboards/queries don't use this label, and just use aggregate
queries. There are specific scenarios where
Hi,
We have a server that has a high cardinality of metrics, mainly due to a
label that is tagged on the majority of the metrics. However, most of our
dashboards/queries don't use this label, and just use aggregate queries.
There are specific scenarios where we would need to debug and sort
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