added language about trends #1013
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austian
reviewed
Oct 13, 2016
| @@ -6,7 +6,7 @@ beta: true | |||
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| Anomaly detection is an algorithmic feature that allows you to identify when a metric is behaving differently than it has in the past, taking into account seasonal day-of-week and time-of-day patterns. It's well-suited for metrics with recurring patterns that are hard or impossible to monitor with threshold-based alerting. For example, anomaly detection can help you discover when your web traffic is unusually low on a weekday afternoon—even though that same level of traffic would be perfectly normal later in the evening. | |||
| Anomaly detection is an algorithmic feature that allows you to identify when a metric is behaving differently than it has in the past, taking into account trends, seasonal day-of-week and time-of-day patterns. It is well-suited for metrics with strong trends and recurring patterns that are hard or impossible to monitor with threshold-based alerting. For example, anomaly detection can help you discover when your web traffic is unusually low on a weekday afternoon—even though that same level of traffic would be perfectly normal later in the evening. Or consider a metric measuring the number of logins to your quickly-growing site. As the number is increasing every day, any threshold would be quickly out-dated, whereas anomaly detection can quickly you alert you if there is an unexpected drop—potentially indicating an issue with the login system. | |||
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I think that the text is fine, but maybe make this two paragraphs somehow? Like the examples in their own paragraph?
Also, this line seems off to me.
Or consider a metric measuring the number of logins to your quickly-growing site.
Just the "or" part, maybe instead "As another example, consider a metric measuring the number of logins to your quickly-growing site."?
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