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by jcgrillo
795 days ago
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Yeah I've definitely been saved a bunch of times by long retention, and the BI questions that might arise are impossible to predict. So some sort of retention is definitely necessary, IME. But let's take the case of metrics as an example--do we need full sample granularity for "old" data? Do we need full tag cardinality? Sample granularity reduction could be done with a transform to rollups at a coarser time granularity. That's a 60x reduction going from Hz to 1/min. You might lose a bunch of frequency information this way, but maybe that's ok? Numbers are really nice in ways that text is not. |
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