Struct AnomalyDetector

#[non_exhaustive]
pub struct AnomalyDetector {
    pub anomaly_detector_arn: Option<String>,
    pub detector_name: Option<String>,
    pub log_group_arn_list: Option<Vec<String>>,
    pub evaluation_frequency: Option<EvaluationFrequency>,
    pub filter_pattern: Option<String>,
    pub anomaly_detector_status: Option<AnomalyDetectorStatus>,
    pub kms_key_id: Option<String>,
    pub creation_time_stamp: i64,
    pub last_modified_time_stamp: i64,
    pub anomaly_visibility_time: Option<i64>,
}

Contains information about one anomaly detector in the account.

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.

anomaly_detector_arn: Option<String>

The ARN of the anomaly detector.

detector_name: Option<String>

The name of the anomaly detector.

log_group_arn_list: Option<Vec<String>>

A list of the ARNs of the log groups that this anomaly detector watches.

evaluation_frequency: Option<EvaluationFrequency>

Specifies how often the anomaly detector runs and look for anomalies.

filter_pattern: Option<String>

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.

anomaly_detector_status: Option<AnomalyDetectorStatus>

Specifies the current status of the anomaly detector. To pause an anomaly detector, use the enabled parameter in the UpdateLogAnomalyDetector operation.

kms_key_id: Option<String>

The ID of the KMS key assigned to this anomaly detector, if any.

creation_time_stamp: i64

The date and time when this anomaly detector was created.

last_modified_time_stamp: i64

The date and time when this anomaly detector was most recently modified.

anomaly_visibility_time: Option<i64>

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.

Implementations

impl AnomalyDetector

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

The ARN of the anomaly detector.

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

The name of the anomaly detector.

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

A list of the ARNs of the log groups that this anomaly detector watches.

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 evaluation_frequency(&self) -> Option<&EvaluationFrequency>

Specifies how often the anomaly detector runs and look for anomalies.

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

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.

pub fn anomaly_detector_status(&self) -> Option<&AnomalyDetectorStatus>

Specifies the current status of the anomaly detector. To pause an anomaly detector, use the enabled parameter in the UpdateLogAnomalyDetector operation.

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

The ID of the KMS key assigned to this anomaly detector, if any.

pub fn creation_time_stamp(&self) -> i64

The date and time when this anomaly detector was created.

pub fn last_modified_time_stamp(&self) -> i64

The date and time when this anomaly detector was most recently modified.

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

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.

impl AnomalyDetector

pub fn builder() -> AnomalyDetectorBuilder

Creates a new builder-style object to manufacture AnomalyDetector.

Trait Implementations

impl Clone for AnomalyDetector

fn clone(&self) -> AnomalyDetector

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AnomalyDetector

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

Formats the value using the given formatter.

impl PartialEq for AnomalyDetector

fn eq(&self, other: &AnomalyDetector) -> 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 AnomalyDetector