We got in a situation where we had a high series cardinality, and we realized that two particular tags were unnecessary, so we changed our ingest process to not add those tags.
But ironically, this greatly increased series count because the new data actually forms a new set of series, without the tags. Thus, in an attempt to reduce our cardinality we inadvertently sort of doubled it
Is there any simple solution to this problem? The only thing I’m aware of is that we could export all the old data, manipulate it externally to remove the tags, and reimport it, which sounds quite time-consuming and perhaps tricky to get right while keeping all the data queryable. Does anyone have other suggestions?