Struct EffectiveRecommendationPreferences

#[non_exhaustive]
pub struct EffectiveRecommendationPreferences {
    pub cpu_vendor_architectures: Option<Vec<CpuVendorArchitecture>>,
    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<InstanceSavingsEstimationMode>,
}

Describes the effective recommendation preferences for a resource.

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.

cpu_vendor_architectures: Option<Vec<CpuVendorArchitecture>>

Describes the CPU vendor and architecture for an instance or Auto Scaling group recommendations.

For example, when you specify AWS_ARM64 with:

• A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton instance types only.

• A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton instance type recommendations only.

• A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton instance types only.

enhanced_infrastructure_metrics: Option<EnhancedInfrastructureMetrics>

Describes the activation status of the enhanced infrastructure metrics preference.

A status of Active confirms that the preference is applied in the latest recommendation refresh, and a status of Inactive confirms that it's not yet applied to recommendations.

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

inferred_workload_types: Option<InferredWorkloadTypesPreference>

Describes the activation status of the inferred workload types preference.

A status of Active confirms that the preference is applied in the latest recommendation refresh. A status of Inactive confirms that it's not 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 number of days the utilization metrics of the Amazon Web Services resource are analyzed.

utilization_preferences: Option<Vec<UtilizationPreference>>

The resource’s CPU and memory utilization preferences, such as threshold and headroom, that are used to generate rightsizing recommendations.

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

preferred_resources: Option<Vec<EffectivePreferredResource>>

The resource type values that are considered as candidates when generating rightsizing recommendations.

savings_estimation_mode: Option<InstanceSavingsEstimationMode>

Describes the savings estimation mode applied for calculating savings opportunity for a resource.

Implementations

impl EffectiveRecommendationPreferences

pub fn cpu_vendor_architectures(&self) -> &[CpuVendorArchitecture]

Describes the CPU vendor and architecture for an instance or Auto Scaling group recommendations.

For example, when you specify AWS_ARM64 with:

• A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton instance types only.

• A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton instance type recommendations only.

• A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton instance types only.

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

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

Describes the activation status of the enhanced infrastructure metrics preference.

A status of Active confirms that the preference is applied in the latest recommendation refresh, and a status of Inactive confirms that it's not 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>

Describes the activation status of the inferred workload types preference.

A status of Active confirms that the preference is applied in the latest recommendation refresh. A status of Inactive confirms that it's not 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 number of days the utilization metrics of the Amazon Web Services resource are analyzed.

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

The resource’s CPU and memory utilization preferences, such as threshold and headroom, that are used to generate rightsizing recommendations.

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 resource type values that are considered as candidates when generating rightsizing recommendations.

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<&InstanceSavingsEstimationMode>

Describes the savings estimation mode applied for calculating savings opportunity for a resource.

impl EffectiveRecommendationPreferences

pub fn builder() -> EffectiveRecommendationPreferencesBuilder

Creates a new builder-style object to manufacture EffectiveRecommendationPreferences.

Trait Implementations

impl Clone for EffectiveRecommendationPreferences

fn clone(&self) -> EffectiveRecommendationPreferences

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EffectiveRecommendationPreferences

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

Formats the value using the given formatter.

impl PartialEq for EffectiveRecommendationPreferences

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