Does Splunk have any guidelines or limitations on the number of dimensions (i.e., cardinality) that the new Metrics Index supports?
Are there specific limitations in terms of the number of dimensions or unique values of a single dimension or unique combinations of dimensions for a single measurement?
I understand that Splunk's searching and indexing performance is always contingent on the hardware / platform. Just wanting to see if there are any hard limits built into the design of the Metrics Index or a configuration threshold, or even better, can Splunk provide some benchmarks about data sets they have tested?
I have seen other metric stores / time-series databases enforce these kinds of limits (in configuration settings), hence the question.
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