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Couldn't agree more. Especially recognizing monthly usage patterns would reduce the number of false positives.
One other very specific example I get monthly false positives on is the increased costs for AWS CloudWatch during the first days of the month, not because there is in increase in usage but we pay higher rates the first days until we land in the next volume pricing bandwidth.