Struct aws_sdk_devopsguru::types::ProactiveAnomalySummary

#[non_exhaustive]
pub struct ProactiveAnomalySummary {

    pub id: Option<String>,
    pub severity: Option<AnomalySeverity>,
    pub status: Option<AnomalyStatus>,
    pub update_time: Option<DateTime>,
    pub anomaly_time_range: Option<AnomalyTimeRange>,
    pub anomaly_reported_time_range: Option<AnomalyReportedTimeRange>,
    pub prediction_time_range: Option<PredictionTimeRange>,
    pub source_details: Option<AnomalySourceDetails>,
    pub associated_insight_id: Option<String>,
    pub resource_collection: Option<ResourceCollection>,
    pub limit: Option<f64>,
    pub source_metadata: Option<AnomalySourceMetadata>,
    pub anomaly_resources: Option<Vec<AnomalyResource>>,
    pub description: Option<String>,
}

Details about a proactive anomaly. This object is returned by DescribeAnomaly.

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.

id: Option<String>

The ID of the anomaly.

severity: Option<AnomalySeverity>

The severity of the anomaly. The severity of anomalies that generate an insight determine that insight's severity. For more information, see Understanding insight severities in the Amazon DevOps Guru User Guide.

status: Option<AnomalyStatus>

The status of the anomaly.

update_time: Option<DateTime>

The time of the anomaly's most recent update.

anomaly_time_range: Option<AnomalyTimeRange>

A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange, which specifies the time range when DevOps Guru opens and then closes an anomaly.

anomaly_reported_time_range: Option<AnomalyReportedTimeRange>

An AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed.

prediction_time_range: Option<PredictionTimeRange>

The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.

source_details: Option<AnomalySourceDetails>

Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics.

associated_insight_id: Option<String>

The ID of the insight that contains this anomaly. An insight is composed of related anomalies.

resource_collection: Option<ResourceCollection>

A collection of Amazon Web Services resources supported by DevOps Guru. The two types of Amazon Web Services resource collections supported are Amazon Web Services CloudFormation stacks and Amazon Web Services resources that contain the same Amazon Web Services tag. DevOps Guru can be configured to analyze the Amazon Web Services resources that are defined in the stacks or that are tagged using the same tag key. You can specify up to 500 Amazon Web Services CloudFormation stacks.

limit: Option<f64>

A threshold that was exceeded by behavior in analyzed resources. Exceeding this threshold is related to the anomalous behavior that generated this anomaly.

source_metadata: Option<AnomalySourceMetadata>

The metadata of the source which detects proactive anomalies.

anomaly_resources: Option<Vec<AnomalyResource>>

Information about a resource in which DevOps Guru detected anomalous behavior.

description: Option<String>

A description of the proactive anomaly.

Implementations

impl ProactiveAnomalySummary

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

The ID of the anomaly.

pub fn severity(&self) -> Option<&AnomalySeverity>

The severity of the anomaly. The severity of anomalies that generate an insight determine that insight's severity. For more information, see Understanding insight severities in the Amazon DevOps Guru User Guide.

pub fn status(&self) -> Option<&AnomalyStatus>

The status of the anomaly.

pub fn update_time(&self) -> Option<&DateTime>

The time of the anomaly's most recent update.

pub fn anomaly_time_range(&self) -> Option<&AnomalyTimeRange>

A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange, which specifies the time range when DevOps Guru opens and then closes an anomaly.

pub fn anomaly_reported_time_range(&self) -> Option<&AnomalyReportedTimeRange>

An AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed.

pub fn prediction_time_range(&self) -> Option<&PredictionTimeRange>

The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.

pub fn source_details(&self) -> Option<&AnomalySourceDetails>

Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics.

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

The ID of the insight that contains this anomaly. An insight is composed of related anomalies.

pub fn resource_collection(&self) -> Option<&ResourceCollection>

A collection of Amazon Web Services resources supported by DevOps Guru. The two types of Amazon Web Services resource collections supported are Amazon Web Services CloudFormation stacks and Amazon Web Services resources that contain the same Amazon Web Services tag. DevOps Guru can be configured to analyze the Amazon Web Services resources that are defined in the stacks or that are tagged using the same tag key. You can specify up to 500 Amazon Web Services CloudFormation stacks.

pub fn limit(&self) -> Option<f64>

A threshold that was exceeded by behavior in analyzed resources. Exceeding this threshold is related to the anomalous behavior that generated this anomaly.

pub fn source_metadata(&self) -> Option<&AnomalySourceMetadata>

The metadata of the source which detects proactive anomalies.

pub fn anomaly_resources(&self) -> &[AnomalyResource]

Information about a resource in which DevOps Guru detected anomalous behavior.

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

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

A description of the proactive anomaly.

impl ProactiveAnomalySummary

pub fn builder() -> ProactiveAnomalySummaryBuilder

Creates a new builder-style object to manufacture ProactiveAnomalySummary.

Trait Implementations

impl Clone for ProactiveAnomalySummary

fn clone(&self) -> ProactiveAnomalySummary

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ProactiveAnomalySummary

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

Formats the value using the given formatter.

impl PartialEq for ProactiveAnomalySummary

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