Struct aws_sdk_cloudwatchlogs::operation::create_log_anomaly_detector::builders::CreateLogAnomalyDetectorInputBuilder

#[non_exhaustive]
pub struct CreateLogAnomalyDetectorInputBuilder { /* private fields */ }

A builder for CreateLogAnomalyDetectorInput.

Implementations

impl CreateLogAnomalyDetectorInputBuilder

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

Appends an item to log_group_arn_list.

To override the contents of this collection use set_log_group_arn_list.

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

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

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

pub fn get_log_group_arn_list(&self) -> &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.

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

A name for this anomaly detector.

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

A name for this anomaly detector.

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

A name for this anomaly detector.

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

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

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

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

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 get_filter_pattern(&self) -> &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.

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

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

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 get_kms_key_id(&self) -> &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.

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

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

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 get_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, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to tags.

To override the contents of this collection use set_tags.

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

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

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

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

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

pub fn get_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

pub fn build(self) -> Result<CreateLogAnomalyDetectorInput, BuildError>

Consumes the builder and constructs a CreateLogAnomalyDetectorInput.

impl CreateLogAnomalyDetectorInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<CreateLogAnomalyDetectorOutput, SdkError<CreateLogAnomalyDetectorError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateLogAnomalyDetectorInputBuilder

fn clone(&self) -> CreateLogAnomalyDetectorInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateLogAnomalyDetectorInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateLogAnomalyDetectorInputBuilder

fn default() -> CreateLogAnomalyDetectorInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateLogAnomalyDetectorInputBuilder

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for CreateLogAnomalyDetectorInputBuilder