Struct GetEffectiveRecommendationPreferencesOutput

#[non_exhaustive]
pub struct GetEffectiveRecommendationPreferencesOutput {
    pub enhanced_infrastructure_metrics: Option<EnhancedInfrastructureMetrics>,
    pub external_metrics_preference: Option<ExternalMetricsPreference>,
    pub look_back_period: Option<LookBackPeriodPreference>,
    pub utilization_preferences: Option<Vec<UtilizationPreference>>,
    pub preferred_resources: Option<Vec<EffectivePreferredResource>>,
    /* private fields */
}

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.

enhanced_infrastructure_metrics: Option<EnhancedInfrastructureMetrics>

The status of the enhanced infrastructure metrics recommendation preference. Considers all applicable preferences that you might have set at the resource, account, and organization level.

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.

To validate whether the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations and GetEC2InstanceRecommendations actions.

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

external_metrics_preference: Option<ExternalMetricsPreference>

The provider of the external metrics recommendation preference. Considers all applicable preferences that you might have set at the account and organization level.

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.

To validate whether the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetEC2InstanceRecommendations actions.

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

look_back_period: Option<LookBackPeriodPreference>

The number of days the utilization metrics of the Amazon Web Services resource are analyzed.

To validate that the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations or GetEC2InstanceRecommendations actions.

utilization_preferences: Option<Vec<UtilizationPreference>>

The resource’s CPU and memory utilization preferences, such as threshold and headroom, that were used to generate rightsizing recommendations. It considers all applicable preferences that you set at the resource, account, and organization level.

To validate that the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations or GetEC2InstanceRecommendations actions.

preferred_resources: Option<Vec<EffectivePreferredResource>>

The resource type values that are considered as candidates when generating rightsizing recommendations. This object resolves any wildcard expressions and returns the effective list of candidate resource type values. It also considers all applicable preferences that you set at the resource, account, and organization level.

To validate that the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations or GetEC2InstanceRecommendations actions.

Implementations

impl GetEffectiveRecommendationPreferencesOutput

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

The status of the enhanced infrastructure metrics recommendation preference. Considers all applicable preferences that you might have set at the resource, account, and organization level.

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.

To validate whether the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations and GetEC2InstanceRecommendations actions.

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

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

The provider of the external metrics recommendation preference. Considers all applicable preferences that you might have set at the account and organization level.

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.

To validate whether the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetEC2InstanceRecommendations actions.

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

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

The number of days the utilization metrics of the Amazon Web Services resource are analyzed.

To validate that the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations or GetEC2InstanceRecommendations actions.

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

The resource’s CPU and memory utilization preferences, such as threshold and headroom, that were used to generate rightsizing recommendations. It considers all applicable preferences that you set at the resource, account, and organization level.

To validate that the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations or GetEC2InstanceRecommendations actions.

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. This object resolves any wildcard expressions and returns the effective list of candidate resource type values. It also considers all applicable preferences that you set at the resource, account, and organization level.

To validate that the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations or GetEC2InstanceRecommendations actions.

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().

impl GetEffectiveRecommendationPreferencesOutput

pub fn builder() -> GetEffectiveRecommendationPreferencesOutputBuilder

Creates a new builder-style object to manufacture GetEffectiveRecommendationPreferencesOutput.

Trait Implementations

impl Clone for GetEffectiveRecommendationPreferencesOutput

fn clone(&self) -> GetEffectiveRecommendationPreferencesOutput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GetEffectiveRecommendationPreferencesOutput

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

Formats the value using the given formatter.

impl PartialEq for GetEffectiveRecommendationPreferencesOutput

fn eq(&self, other: &GetEffectiveRecommendationPreferencesOutput) -> 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 RequestId for GetEffectiveRecommendationPreferencesOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for GetEffectiveRecommendationPreferencesOutput