aws.logs.list_log_anomaly_detectors
Example SQL Queries
SELECT * FROMaws.logs.list_log_anomaly_detectors;Description
Retrieves a list of the log anomaly detectors in the account.
Table Definition
| Column Name | Column Data Type |
|---|---|
| filter_log_group_arn Input Column Use this to optionally filter the results to only include anomaly detectors that are associated with the specified log group. | VARCHAR |
| _aws_profile Input Column The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT( |
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| _aws_region Input Column The AWS region to use. | VARCHAR |
| anomaly_detector_arn The ARN of the anomaly detector. | VARCHAR |
| anomaly_detector_status Specifies the current status of the anomaly detector. To pause an anomaly detector, use the enabled parameter in the UpdateLogAnomalyDetector operation. | VARCHAR |
| anomaly_visibility_time The number of days used as the life cycle of anomalies. After this time, anomalies are automatically baselined and the anomaly detector model will treat new occurrences of similar event as normal. | BIGINT |
| creation_time_stamp The date and time when this anomaly detector was created. | BIGINT |
| detector_name The name of the anomaly detector. | VARCHAR |
| evaluation_frequency Specifies how often the anomaly detector runs and look for anomalies. | VARCHAR |
| filter_pattern A symbolic description of how CloudWatch Logs should interpret the data in each log event. For example, a log event can contain timestamps, IP addresses, strings, and so on. You use the filter pattern to specify what to look for in the log event message. | VARCHAR |
| kms_key_id The ID of the KMS key assigned to this anomaly detector, if any. | VARCHAR |
| last_modified_time_stamp The date and time when this anomaly detector was most recently modified. | BIGINT |
| log_group_arn_list A list of the ARNs of the log groups that this anomaly detector watches. | VARCHAR[] |
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