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- `time_aggr`: avg, sum, max, min, change, or pct_change
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- `time_window`: `last_#m` (with `#` being 5, 10, 15, or 30) or `last_#h`(with `#` being 1, 2, or 4), or `last_1d`
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- `time_window`: `last_#m` (with `#` between 1 and 2880 depending on the monitor type) or `last_#h`(with `#` between 1 and 48 depending on the monitor type), or `last_1d`
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- `space_aggr`: avg, sum, min, or max
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- `tags`: one or more tags (comma-separated), or *
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- `key`: a 'key' in key:value tag syntax; defines a separate alert for each tag in the group (multi-alert)
@@ -3607,7 +3607,7 @@ paths:
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- `change_aggr` change, pct_change
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- `time_aggr` avg, sum, max, min [Learn more](https://docs.datadoghq.com/monitors/monitor_types/#define-the-conditions)
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- `time_window` last\_#m (1, 5, 10, 15, or 30), last\_#h (1, 2, or 4), or last_#d (1 or 2)
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- `time_window` last\_#m (between 1 and 2880 depending on the monitor type), last\_#h (between 1 and 48 depending on the monitor type), or last_#d (1 or 2)
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- `timeshift` #m_ago (5, 10, 15, or 30), #h_ago (1, 2, or 4), or 1d_ago
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Use this to create an outlier monitor using the following query:
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