class
Amazonite::CloudWatchLogs::CreateLogAnomalyDetectorRequest
- Amazonite::CloudWatchLogs::CreateLogAnomalyDetectorRequest
- Reference
- Object
Included Modules
- JSON::Serializable
Defined in:
cloudwatch_logs/create_log_anomaly_detector_request.crConstructors
- .new(pull : JSON::PullParser)
- .new(log_group_arn_list : Array(String), detector_name : String | Nil = nil, evaluation_frequency : EvaluationFrequency | Nil = nil, filter_pattern : String | Nil = nil, kms_key_id : String | Nil = nil, anomaly_visibility_time : Int64 | Nil = nil, tags : Hash(String, String) | Nil = nil)
Instance Method Summary
-
#==(other : self)
Returns
trueif this reference is the same as other. -
#anomaly_visibility_time : Int64 | Nil
The number of days to have visibility on an anomaly.
-
#anomaly_visibility_time=(anomaly_visibility_time : Int64 | Nil)
The number of days to have visibility on an anomaly.
-
#detector_name : String | Nil
A name for this anomaly detector.
-
#detector_name=(detector_name : String | Nil)
A name for this anomaly detector.
-
#evaluation_frequency : EvaluationFrequency | Nil
Specifies how often the anomaly detector is to run and look for anomalies.
-
#evaluation_frequency=(evaluation_frequency : EvaluationFrequency | Nil)
Specifies how often the anomaly detector is to run and look for anomalies.
-
#filter_pattern : String | Nil
You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here.
-
#filter_pattern=(filter_pattern : String | Nil)
You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here.
-
#hash(hasher)
See
Object#hash(hasher) -
#kms_key_id : String | Nil
Optionally assigns a KMS key to secure this anomaly detector and its findings.
-
#kms_key_id=(kms_key_id : String | Nil)
Optionally assigns a KMS key to secure this anomaly detector and its findings.
-
#log_group_arn_list : Array(String)
An array containing the ARN of the log group that this anomaly detector will watch.
-
#log_group_arn_list=(log_group_arn_list : Array(String))
An array containing the ARN of the log group that this anomaly detector will watch.
-
#tags : Hash(String, String) | Nil
An optional list of key-value pairs to associate with the resource.
-
#tags=(tags : Hash(String, String) | Nil)
An optional list of key-value pairs to associate with the resource.
- #validate! : Nil
Constructor Detail
Instance Method Detail
Returns true if this reference is the same as other. Invokes same?.
The number of days to have visibility on an anomaly. After this time period has elapsed for an
anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences
of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during
the time period specified in anomalyVisibilityTime, it will be considered normal going forward
and will not be detected as an anomaly.
The number of days to have visibility on an anomaly. After this time period has elapsed for an
anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences
of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during
the time period specified in anomalyVisibilityTime, it will be considered normal going forward
and will not be detected as an anomaly.
Specifies how often the anomaly detector is to run 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 15 minutes might be a good setting for
evaluationFrequency .
Specifies how often the anomaly detector is to run 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 15 minutes might be a good setting for
evaluationFrequency .
You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
Optionally assigns a KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
Make sure the value provided is a valid KMS key ARN. For more information about using a KMS key and to see the required IAM policy, see Use a KMS key with an anomaly detector.
Optionally assigns a KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
Make sure the value provided is a valid KMS key ARN. For more information about using a KMS key and to see the required IAM policy, see Use a KMS key with an anomaly detector.
An array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.
An array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.
An optional list of key-value pairs to associate with the resource.
For more information about tagging, see Tagging Amazon Web Services resources
An optional list of key-value pairs to associate with the resource.
For more information about tagging, see Tagging Amazon Web Services resources