Struct UpdateLogAnomalyDetectorFluentBuilder

pub struct UpdateLogAnomalyDetectorFluentBuilder { /* private fields */ }

Fluent builder constructing a request to UpdateLogAnomalyDetector.

Updates an existing log anomaly detector.

Implementations

impl UpdateLogAnomalyDetectorFluentBuilder

pub fn as_input(&self) -> &UpdateLogAnomalyDetectorInputBuilder

Access the UpdateLogAnomalyDetector as a reference.

pub async fn send( self, ) -> Result<UpdateLogAnomalyDetectorOutput, SdkError<UpdateLogAnomalyDetectorError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn customize( self, ) -> CustomizableOperation<UpdateLogAnomalyDetectorOutput, UpdateLogAnomalyDetectorError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

pub fn anomaly_detector_arn(self, input: impl Into<String>) -> Self

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

pub fn set_anomaly_detector_arn(self, input: Option<String>) -> Self

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

pub fn get_anomaly_detector_arn(&self) -> &Option<String>

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

pub fn evaluation_frequency(self, input: EvaluationFrequency) -> Self

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 set_evaluation_frequency( self, input: Option<EvaluationFrequency>, ) -> Self

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 get_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, input: impl Into<String>) -> Self

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 set_filter_pattern(self, input: Option<String>) -> Self

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 get_filter_pattern(&self) -> &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.

pub fn anomaly_visibility_time(self, input: i64) -> Self

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 set_anomaly_visibility_time(self, input: Option<i64>) -> Self

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 get_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, input: bool) -> Self

Use this parameter to pause or restart the anomaly detector.

pub fn set_enabled(self, input: Option<bool>) -> Self

Use this parameter to pause or restart the anomaly detector.

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

Use this parameter to pause or restart the anomaly detector.

Trait Implementations

impl Clone for UpdateLogAnomalyDetectorFluentBuilder

fn clone(&self) -> UpdateLogAnomalyDetectorFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateLogAnomalyDetectorFluentBuilder

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

Formats the value using the given formatter.