Struct CreateLogAnomalyDetectorInput

#[non_exhaustive]
pub struct CreateLogAnomalyDetectorInput {
    pub log_group_arn_list: Option<Vec<String>>,
    pub detector_name: Option<String>,
    pub evaluation_frequency: Option<EvaluationFrequency>,
    pub filter_pattern: Option<String>,
    pub kms_key_id: Option<String>,
    pub anomaly_visibility_time: Option<i64>,
    pub tags: Option<HashMap<String, String>>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

log_group_arn_list: Option<Vec<String>>

An array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

detector_name: Option<String>

A name for this anomaly detector.

evaluation_frequency: Option<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 .

filter_pattern: Option<String>

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.

kms_key_id: Option<String>

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.

For more information about using a KMS key and to see the required IAM policy, see Use a KMS key with an anomaly detector.

anomaly_visibility_time: Option<i64>

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.

tags: Option<HashMap<String, String>>

An optional list of key-value pairs to associate with the resource.

For more information about tagging, see Tagging Amazon Web Services resources

Implementations

impl CreateLogAnomalyDetectorInput

pub fn log_group_arn_list(&self) -> &[String]

An array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .log_group_arn_list.is_none().

pub fn detector_name(&self) -> Option<&str>

A name for this anomaly detector.

pub fn evaluation_frequency(&self) -> Option<&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 .

pub fn filter_pattern(&self) -> Option<&str>

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.

pub fn kms_key_id(&self) -> Option<&str>

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.

For more information about using a KMS key and to see the required IAM policy, see Use a KMS key with an anomaly detector.

pub fn anomaly_visibility_time(&self) -> Option<i64>

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.

pub fn tags(&self) -> Option<&HashMap<String, String>>

An optional list of key-value pairs to associate with the resource.

For more information about tagging, see Tagging Amazon Web Services resources

impl CreateLogAnomalyDetectorInput

pub fn builder() -> CreateLogAnomalyDetectorInputBuilder

Creates a new builder-style object to manufacture CreateLogAnomalyDetectorInput.

Trait Implementations

impl Clone for CreateLogAnomalyDetectorInput

fn clone(&self) -> CreateLogAnomalyDetectorInput

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateLogAnomalyDetectorInput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for CreateLogAnomalyDetectorInput

fn eq(&self, other: &CreateLogAnomalyDetectorInput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for CreateLogAnomalyDetectorInput