- Schema:
ANOMALIES_DAILY view¶
This Account Usage view provides insights into whether cost anomalies occurred in the account.
Each row provides the consumption on a specific day, and whether that consumption was a cost anomaly.
Columns¶
Column name | Data type | Description |
|---|---|---|
DATE | DATE | Day in UTC when the consumption occurred. |
ANOMALY_ID | VARCHAR | System-generated identifier. |
IS_ANOMALY | BOOLEAN | If true, consumption has been identified as a cost anomaly because it has gone outside the range of the upper and lower bound. |
ACTUAL_VALUE | NUMBER | Amount of consumption measured in credits. |
UPPER_BOUND | NUMBER | Predicted highest level of consumption based on the anomaly-detecting algorithm, measured in credits. Consumption levels above this value are considered an anomaly. |
LOWER_BOUND | NUMBER | Predicted lowest level of consumption based on the anomaly-detecting algorithm, measured in credits. Consumption levels below this value are considered an anomaly. |
FORECASTED_VALUE | NUMBER | Predicted consumption based on the anomaly-detecting algorithm, measured in credits. |
Usage notes¶
Latency for the view might be up to 8 hours.