Struct aws_sdk_computeoptimizer::types::RecommendationPreferencesDetail

#[non_exhaustive]
pub struct RecommendationPreferencesDetail {
    pub scope: Option<Scope>,
    pub resource_type: Option<ResourceType>,
    pub enhanced_infrastructure_metrics: Option<EnhancedInfrastructureMetrics>,
    pub inferred_workload_types: Option<InferredWorkloadTypesPreference>,
    pub external_metrics_preference: Option<ExternalMetricsPreference>,
    pub look_back_period: Option<LookBackPeriodPreference>,
    pub utilization_preferences: Option<Vec<UtilizationPreference>>,
    pub preferred_resources: Option<Vec<EffectivePreferredResource>>,
    pub savings_estimation_mode: Option<SavingsEstimationMode>,
}

Describes a recommendation preference.

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.

scope: Option<Scope>

An object that describes the scope of the recommendation preference.

Recommendation preferences can be created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.

resource_type: Option<ResourceType>

The target resource type of the recommendation preference to create.

The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.

enhanced_infrastructure_metrics: Option<EnhancedInfrastructureMetrics>

The status of the enhanced infrastructure metrics recommendation preference.

When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.

For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.

inferred_workload_types: Option<InferredWorkloadTypesPreference>

The status of the inferred workload types recommendation preference.

When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.

external_metrics_preference: Option<ExternalMetricsPreference>

An object that describes the external metrics recommendation preference.

If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.

look_back_period: Option<LookBackPeriodPreference>

The preference to control the number of days the utilization metrics of the Amazon Web Services resource are analyzed. If the preference isn’t set, this object is null.

utilization_preferences: Option<Vec<UtilizationPreference>>

The preference to control the resource’s CPU utilization threshold, CPU utilization headroom, and memory utilization headroom. If the preference isn’t set, this object is null.

This preference is only available for the Amazon EC2 instance resource type.

preferred_resources: Option<Vec<EffectivePreferredResource>>

The preference to control which resource type values are considered when generating rightsizing recommendations. This object resolves any wildcard expressions and returns the effective list of candidate resource type values. If the preference isn’t set, this object is null.

savings_estimation_mode: Option<SavingsEstimationMode>

Describes the savings estimation mode used for calculating savings opportunity.

Only the account manager or delegated administrator of your organization can activate this preference.

Implementations

impl RecommendationPreferencesDetail

pub fn scope(&self) -> Option<&Scope>

An object that describes the scope of the recommendation preference.

Recommendation preferences can be created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.

pub fn resource_type(&self) -> Option<&ResourceType>

The target resource type of the recommendation preference to create.

The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.

pub fn enhanced_infrastructure_metrics( &self ) -> Option<&EnhancedInfrastructureMetrics>

The status of the enhanced infrastructure metrics recommendation preference.

When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.

For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.

pub fn inferred_workload_types( &self ) -> Option<&InferredWorkloadTypesPreference>

The status of the inferred workload types recommendation preference.

When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.

pub fn external_metrics_preference(&self) -> Option<&ExternalMetricsPreference>

An object that describes the external metrics recommendation preference.

If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.

pub fn look_back_period(&self) -> Option<&LookBackPeriodPreference>

The preference to control the number of days the utilization metrics of the Amazon Web Services resource are analyzed. If the preference isn’t set, this object is null.

pub fn utilization_preferences(&self) -> &[UtilizationPreference]

The preference to control the resource’s CPU utilization threshold, CPU utilization headroom, and memory utilization headroom. If the preference isn’t set, this object is null.

This preference is only available for the Amazon EC2 instance resource type.

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

pub fn preferred_resources(&self) -> &[EffectivePreferredResource]

The preference to control which resource type values are considered when generating rightsizing recommendations. This object resolves any wildcard expressions and returns the effective list of candidate resource type values. If the preference isn’t set, this object is null.

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

pub fn savings_estimation_mode(&self) -> Option<&SavingsEstimationMode>

Describes the savings estimation mode used for calculating savings opportunity.

Only the account manager or delegated administrator of your organization can activate this preference.

impl RecommendationPreferencesDetail

pub fn builder() -> RecommendationPreferencesDetailBuilder

Creates a new builder-style object to manufacture RecommendationPreferencesDetail.

Trait Implementations

impl Clone for RecommendationPreferencesDetail

fn clone(&self) -> RecommendationPreferencesDetail

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RecommendationPreferencesDetail

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

Formats the value using the given formatter.

impl PartialEq for RecommendationPreferencesDetail

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