Default monitor settings
When you add an anomaly detection monitor from Explorer without manually editing the monitor, the monitor uses default settings based on the metric type. Note that Compare metrics (Compare aggregates, Row by row) only support manual thresholds, which do not have defaults. Also note that default training periods depend on whether the metric has seasonality.
Aggregation metric
| Option | Default setting |
|---|---|
| Symptom to detect | Value out of Expectations |
| Feature | Value |
| Compare against | N/A |
| Bounds | tolerance interval |
| Account for trend | Disabled |
| Forecasting | Disabled |
| Training period (no seasonality) | Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: - If the interval is Hourly or shorter, training period is one week - If the interval is Daily, training period is 30 days - If the interval is Weekly, training period is 120 days - If the interval is Monthly or longer, training period is 15 intervals |
| Training period (seasonal) | Default training period includes the most recent data collection, and extends 15 season periods into the past. |
| Drift duration | 0s (zero seconds) |
| Recovery duration | Equal to the Aggregation Interval or Polling Interval |
| Aggressiveness | 1 |
| Drift direction | Both |
| Incident learning | Enabled |
Conformity metrics
| Option | Default setting |
|---|---|
| Symptom to detect | Value out of Expectations |
| Feature | Value |
| Compare against | N/A |
| Bounds | tolerance interval |
| Account for trend | Disabled |
| Forecasting | Disabled |
| Training period (no seasonality) | Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: - If the interval is Hourly or shorter, training period is one week - If the interval is Daily, training period is 30 days - If the interval is Weekly, training period is 120 days - If the interval is Monthly or longer, training period is 15 intervals |
| Training period (seasonal) | Default training period includes the most recent data collection, and extends 15 season periods into the past. |
| Drift duration | 0s (zero seconds) |
| Recovery duration | Equal to the Aggregation Interval or Polling Interval |
| Aggressiveness | 1 |
| Drift direction | Both |
| Incident learning | Enabled |
Custom SQL metrics
| Option | Default setting |
|---|---|
| Symptom to detect | Value out of Expectations |
| Feature | Value |
| Compare against | N/A |
| Bounds | tolerance interval |
| Account for trend | Disabled |
| Forecasting | Disabled |
| Training period (no seasonality) | Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: - If the interval is Hourly or shorter, training period is one week - If the interval is Daily, training period is 30 days - If the interval is Weekly, training period is 120 days - If the interval is Monthly or longer, training period is 15 intervals |
| Training period (seasonal) | Default training period includes the most recent data collection, and extends 15 season periods into the past. |
| Drift duration | 0s (zero seconds) |
| Recovery duration | Equal to the Aggregation Interval or Polling Interval |
| Aggressiveness | 1 |
| Drift direction | Both |
| Incident learning | Enabled |
Data delay metrics
| Option | Default setting |
|---|---|
| Symptom to detect | Value out of Expectations |
| Feature | Value |
| Compare against | N/A |
| Bounds | tolerance interval |
| Account for trend | Disabled |
| Forecasting | Disabled |
| Training period (no seasonality) | Default training period includes the data collection window one week before the most recent window. |
| Training period (seasonal) | Default training period includes the most recent data collection, and extends 15 season periods into the past. |
| Drift duration | 0s (zero seconds) |
| Recovery duration | 1h (one hour) |
| Aggressiveness | 5 |
| Drift direction | Up |
| Incident learning | Enabled |
Data volume metrics
| Option | Default setting |
|---|---|
| Symptom to detect | Value out of Expectations |
| Feature | Percentage change |
| Compare against | Last sample |
| Bounds | tolerance interval |
| Account for trend | Enabled |
| Forecasting | Disabled |
| Training period (no seasonality) | Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: - If the interval is Hourly or shorter, training period is one week - If the interval is Daily, training period is 30 days - If the interval is Weekly, training period is 120 days - If the interval is Monthly or longer, training period is 15 intervals |
| Training period (seasonal) | Default training period includes the most recent data collection, and extends 15 season periods plus one aggregation/polling interval into the past. |
| Drift duration | 0s (zero seconds) |
| Recovery duration | Equal to the Aggregation Interval or Polling Interval |
| Aggressiveness | 7 |
| Drift direction | Down |
| Incident learning | Enabled |
Distribution metrics
| Option | Default setting |
|---|---|
| Symptom to detect | Value out of Expectations |
| Feature | Value |
| Compare against | N/A |
| Bounds | tolerance interval |
| Account for trend | Disabled |
| Forecasting | Disabled |
| Training period (no seasonality) | Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: - If the interval is Hourly or shorter, training period is one week - If the interval is Daily, training period is 30 days - If the interval is Weekly, training period is 120 days - If the interval is Monthly or longer, training period is 15 intervals |
| Training period (seasonal) | Default training period includes the most recent data collection, and extends 15 season periods into the past. |
| Drift duration | 0s (zero seconds) |
| Recovery duration | Equal to the Aggregation Interval or Polling Interval |
| Aggressiveness | 1 |
| Drift direction | Both |
| Incident learning | Enabled |
Null percent metrics
| Option | Default setting |
|---|---|
| Symptom to detect | Value out of Expectations |
| Feature | Value |
| Compare against | N/A |
| Bounds | tolerance interval |
| Account for trend | Disabled |
| Forecasting | Disabled |
| Training period (no seasonality) | Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: - If the interval is Hourly or shorter, training period is one week - If the interval is Daily, training period is 30 days - If the interval is Weekly, training period is 120 days - If the interval is Monthly or longer, training period is 15 intervals |
| Training period (seasonal) | Default training period includes the most recent data collection, and extends 15 season periods into the past. |
| Drift duration | 0s (zero seconds) |
| Recovery duration | Equal to the Aggregation Interval or Polling Interval |
| Aggressiveness | 1 |
| Drift direction | Both |
| Incident learning | Enabled |
Row count/Byte count metrics
| Option | Default setting |
|---|---|
| Symptom to detect | Value out of Expectations |
| Feature | Percentage change |
| Compare against | N/A |
| Bounds | tolerance interval |
| Account for trend | Enabled |
| Forecasting | Disabled |
| Training period (no seasonality) | Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval: - If Aggregation Interval is Hourly or shorter, training period is one week plus one aggregation interval - If Aggregation Interval is Daily, training period is 31 days - If Aggregation Interval is Weekly, training period is 127 days - If Aggregation Interval is Monthly or longer, training period is 16 aggregation intervals |
| Training period (seasonal) | Default training period includes the most recent data collection, and extends 15 season periods plus one aggregation interval into the past. |
| Drift duration | 0s (zero seconds) |
| Recovery duration | Equal to the Aggregation Interval |
| Aggressiveness | 7 |
| Drift direction | Down |
| Incident learning | Enabled |
Update delay metrics
| Option | Default setting |
|---|---|
| Symptom to detect | Value out of Expectations |
| Feature | Value |
| Compare against | N/A |
| Bounds | tolerance interval |
| Account for trend | Disabled |
| Forecasting | Disabled |
| Training period (no seasonality) | Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval: - If Aggregation Interval is Hourly or shorter, training period is one week - If Aggregation Interval is Daily, training period is 30 days - If Aggregation Interval is Weekly, training period is 120 days - If Aggregation Interval is Monthly or longer, training period is 15 * Aggregation Interval |
| Training period (seasonal) | Default training period includes the most recent data collection, and extends 15 season periods into the past. |
| Drift duration | 0s (zero seconds) |
| Recovery duration | Equal to the Aggregation Interval |
| Aggressiveness | 5 |
| Drift direction | Up |
| Incident learning | Enabled |
Updated about 1 year ago