Struct aws_sdk_computeoptimizer::types::builders::EffectiveRecommendationPreferencesBuilder

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

A builder for EffectiveRecommendationPreferences.

Implementations

impl EffectiveRecommendationPreferencesBuilder

pub fn cpu_vendor_architectures(self, input: CpuVendorArchitecture) -> Self

Appends an item to cpu_vendor_architectures.

To override the contents of this collection use set_cpu_vendor_architectures.

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 Graviton2 instance types only.

• A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton2 instance type recommendations only.

• A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton2 instance types only.

pub fn set_cpu_vendor_architectures( self, input: Option<Vec<CpuVendorArchitecture>> ) -> Self

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 Graviton2 instance types only.

• A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton2 instance type recommendations only.

• A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton2 instance types only.

pub fn get_cpu_vendor_architectures( &self ) -> &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 Graviton2 instance types only.

• A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton2 instance type recommendations only.

• A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton2 instance types only.

pub fn enhanced_infrastructure_metrics( self, input: EnhancedInfrastructureMetrics ) -> Self

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 set_enhanced_infrastructure_metrics( self, input: Option<EnhancedInfrastructureMetrics> ) -> Self

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 get_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, input: InferredWorkloadTypesPreference ) -> Self

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 set_inferred_workload_types( self, input: Option<InferredWorkloadTypesPreference> ) -> Self

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 get_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, input: ExternalMetricsPreference ) -> Self

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 set_external_metrics_preference( self, input: Option<ExternalMetricsPreference> ) -> Self

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 get_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 build(self) -> EffectiveRecommendationPreferences

Consumes the builder and constructs a EffectiveRecommendationPreferences.

Trait Implementations

impl Clone for EffectiveRecommendationPreferencesBuilder

fn clone(&self) -> EffectiveRecommendationPreferencesBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for EffectiveRecommendationPreferencesBuilder

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

Formats the value using the given formatter.

impl Default for EffectiveRecommendationPreferencesBuilder

fn default() -> EffectiveRecommendationPreferencesBuilder

Returns the “default value” for a type.

impl PartialEq for EffectiveRecommendationPreferencesBuilder

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