Struct RecommendationSummary

#[non_exhaustive]
pub struct RecommendationSummary {
    pub summaries: Option<Vec<Summary>>,
    pub idle_summaries: Option<Vec<IdleSummary>>,
    pub recommendation_resource_type: Option<RecommendationSourceType>,
    pub account_id: Option<String>,
    pub savings_opportunity: Option<SavingsOpportunity>,
    pub idle_savings_opportunity: Option<SavingsOpportunity>,
    pub aggregated_savings_opportunity: Option<SavingsOpportunity>,
    pub current_performance_risk_ratings: Option<CurrentPerformanceRiskRatings>,
    pub inferred_workload_savings: Option<Vec<InferredWorkloadSaving>>,
}

A summary of a recommendation.

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.

summaries: Option<Vec<Summary>>

An array of objects that describe a recommendation summary.

idle_summaries: Option<Vec<IdleSummary>>

Describes the findings summary of the idle resources.

recommendation_resource_type: Option<RecommendationSourceType>

The resource type that the recommendation summary applies to.

account_id: Option<String>

The Amazon Web Services account ID of the recommendation summary.

savings_opportunity: Option<SavingsOpportunity>

An object that describes the savings opportunity for a given resource type. Savings opportunity includes the estimated monthly savings amount and percentage.

idle_savings_opportunity: Option<SavingsOpportunity>

Describes the savings opportunity for recommendations of a given resource type or for the recommendation option of an individual resource.

Savings opportunity represents the estimated monthly savings you can achieve by implementing a given Compute Optimizer recommendation.

Savings opportunity data requires that you opt in to Cost Explorer, as well as activate Receive Amazon EC2 resource recommendations in the Cost Explorer preferences page. That creates a connection between Cost Explorer and Compute Optimizer. With this connection, Cost Explorer generates savings estimates considering the price of existing resources, the price of recommended resources, and historical usage data. Estimated monthly savings reflects the projected dollar savings associated with each of the recommendations generated. For more information, see Enabling Cost Explorer and Optimizing your cost with Rightsizing Recommendations in the Cost Management User Guide.

aggregated_savings_opportunity: Option<SavingsOpportunity>

Describes the savings opportunity for recommendations of a given resource type or for the recommendation option of an individual resource.

Savings opportunity represents the estimated monthly savings you can achieve by implementing a given Compute Optimizer recommendation.

Savings opportunity data requires that you opt in to Cost Explorer, as well as activate Receive Amazon EC2 resource recommendations in the Cost Explorer preferences page. That creates a connection between Cost Explorer and Compute Optimizer. With this connection, Cost Explorer generates savings estimates considering the price of existing resources, the price of recommended resources, and historical usage data. Estimated monthly savings reflects the projected dollar savings associated with each of the recommendations generated. For more information, see Enabling Cost Explorer and Optimizing your cost with Rightsizing Recommendations in the Cost Management User Guide.

current_performance_risk_ratings: Option<CurrentPerformanceRiskRatings>

An object that describes the performance risk ratings for a given resource type.

inferred_workload_savings: Option<Vec<InferredWorkloadSaving>>

An array of objects that describes the estimated monthly saving amounts for the instances running on the specified inferredWorkloadTypes. The array contains the top five savings opportunites for the instances that run inferred workload types.

Implementations

impl RecommendationSummary

pub fn summaries(&self) -> &[Summary]

An array of objects that describe a recommendation summary.

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

pub fn idle_summaries(&self) -> &[IdleSummary]

Describes the findings summary of the idle resources.

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

pub fn recommendation_resource_type(&self) -> Option<&RecommendationSourceType>

The resource type that the recommendation summary applies to.

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

The Amazon Web Services account ID of the recommendation summary.

pub fn savings_opportunity(&self) -> Option<&SavingsOpportunity>

An object that describes the savings opportunity for a given resource type. Savings opportunity includes the estimated monthly savings amount and percentage.

pub fn idle_savings_opportunity(&self) -> Option<&SavingsOpportunity>

Describes the savings opportunity for recommendations of a given resource type or for the recommendation option of an individual resource.

Savings opportunity represents the estimated monthly savings you can achieve by implementing a given Compute Optimizer recommendation.

Savings opportunity data requires that you opt in to Cost Explorer, as well as activate Receive Amazon EC2 resource recommendations in the Cost Explorer preferences page. That creates a connection between Cost Explorer and Compute Optimizer. With this connection, Cost Explorer generates savings estimates considering the price of existing resources, the price of recommended resources, and historical usage data. Estimated monthly savings reflects the projected dollar savings associated with each of the recommendations generated. For more information, see Enabling Cost Explorer and Optimizing your cost with Rightsizing Recommendations in the Cost Management User Guide.

pub fn aggregated_savings_opportunity(&self) -> Option<&SavingsOpportunity>

Describes the savings opportunity for recommendations of a given resource type or for the recommendation option of an individual resource.

Savings opportunity represents the estimated monthly savings you can achieve by implementing a given Compute Optimizer recommendation.

Savings opportunity data requires that you opt in to Cost Explorer, as well as activate Receive Amazon EC2 resource recommendations in the Cost Explorer preferences page. That creates a connection between Cost Explorer and Compute Optimizer. With this connection, Cost Explorer generates savings estimates considering the price of existing resources, the price of recommended resources, and historical usage data. Estimated monthly savings reflects the projected dollar savings associated with each of the recommendations generated. For more information, see Enabling Cost Explorer and Optimizing your cost with Rightsizing Recommendations in the Cost Management User Guide.

pub fn current_performance_risk_ratings( &self, ) -> Option<&CurrentPerformanceRiskRatings>

An object that describes the performance risk ratings for a given resource type.

pub fn inferred_workload_savings(&self) -> &[InferredWorkloadSaving]

An array of objects that describes the estimated monthly saving amounts for the instances running on the specified inferredWorkloadTypes. The array contains the top five savings opportunites for the instances that run inferred workload types.

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

impl RecommendationSummary

pub fn builder() -> RecommendationSummaryBuilder

Creates a new builder-style object to manufacture RecommendationSummary.

Trait Implementations

impl Clone for RecommendationSummary

fn clone(&self) -> RecommendationSummary

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RecommendationSummary

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

Formats the value using the given formatter.

impl PartialEq for RecommendationSummary

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