Struct UpdateLogAnomalyDetectorInput

#[non_exhaustive]
pub struct UpdateLogAnomalyDetectorInput {
    pub anomaly_detector_arn: Option<String>,
    pub evaluation_frequency: Option<EvaluationFrequency>,
    pub filter_pattern: Option<String>,
    pub anomaly_visibility_time: Option<i64>,
    pub enabled: Option<bool>,
}

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 that you want to update.

evaluation_frequency: Option<EvaluationFrequency>

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.

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_visibility_time: Option<i64>

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.

enabled: Option<bool>

Use this parameter to pause or restart the anomaly detector.

Implementations

impl UpdateLogAnomalyDetectorInput

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

The ARN of the anomaly detector that you want to update.

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

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.

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_visibility_time(&self) -> Option<i64>

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.

pub fn enabled(&self) -> Option<bool>

Use this parameter to pause or restart the anomaly detector.

impl UpdateLogAnomalyDetectorInput

pub fn builder() -> UpdateLogAnomalyDetectorInputBuilder

Creates a new builder-style object to manufacture UpdateLogAnomalyDetectorInput.

Trait Implementations

impl Clone for UpdateLogAnomalyDetectorInput

fn clone(&self) -> UpdateLogAnomalyDetectorInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateLogAnomalyDetectorInput

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

Formats the value using the given formatter.

impl PartialEq for UpdateLogAnomalyDetectorInput

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