class
Amazonite::CloudWatchLogs::UpdateLogAnomalyDetectorRequest
- Amazonite::CloudWatchLogs::UpdateLogAnomalyDetectorRequest
- Reference
- Object
Included Modules
- JSON::Serializable
Defined in:
cloudwatch_logs/update_log_anomaly_detector_request.crConstructors
- .new(anomaly_detector_arn : String, enabled : Bool, evaluation_frequency : EvaluationFrequency | Nil = nil, filter_pattern : String | Nil = nil, anomaly_visibility_time : Int64 | Nil = nil)
- .new(pull : JSON::PullParser)
Instance Method Summary
-
#==(other : self)
Returns
trueif this reference is the same as other. -
#anomaly_detector_arn : String
The ARN of the anomaly detector that you want to update.
-
#anomaly_detector_arn=(anomaly_detector_arn : String)
The ARN of the anomaly detector that you want to update.
-
#anomaly_visibility_time : Int64 | Nil
The number of days to use as the life cycle of anomalies.
-
#anomaly_visibility_time=(anomaly_visibility_time : Int64 | Nil)
The number of days to use as the life cycle of anomalies.
-
#enabled : Bool
Use this parameter to pause or restart the anomaly detector.
-
#enabled=(enabled : Bool)
Use this parameter to pause or restart the anomaly detector.
-
#evaluation_frequency : EvaluationFrequency | Nil
Specifies how often the anomaly detector runs and look for anomalies.
-
#evaluation_frequency=(evaluation_frequency : EvaluationFrequency | Nil)
Specifies how often the anomaly detector runs and look for anomalies.
- #filter_pattern : String | Nil
- #filter_pattern=(filter_pattern : String | Nil)
-
#hash(hasher)
See
Object#hash(hasher) - #validate! : Nil
Constructor Detail
Instance Method Detail
Returns true if this reference is the same as other. Invokes same?.
The ARN of the anomaly detector that you want to update.
The number of days to use 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. Therefore, if you do not correct the cause of an anomaly during this time, it will be considered normal going forward and will not be detected.
The number of days to use 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. Therefore, if you do not correct the cause of an anomaly during this time, it will be considered normal going forward and will not be detected.
Specifies how often the anomaly detector runs and look for anomalies. Set this value according
to the frequency that the log group receives new logs. For example, if the log group receives
new log events every 10 minutes, then setting evaluationFrequency to FIFTEEN_MIN might be
appropriate.
Specifies how often the anomaly detector runs and look for anomalies. Set this value according
to the frequency that the log group receives new logs. For example, if the log group receives
new log events every 10 minutes, then setting evaluationFrequency to FIFTEEN_MIN might be
appropriate.