Struct aws_sdk_computeoptimizer::types::AutoScalingGroupRecommendationOption

#[non_exhaustive]
pub struct AutoScalingGroupRecommendationOption {
    pub configuration: Option<AutoScalingGroupConfiguration>,
    pub projected_utilization_metrics: Option<Vec<UtilizationMetric>>,
    pub performance_risk: f64,
    pub rank: i32,
    pub savings_opportunity: Option<SavingsOpportunity>,
    pub migration_effort: Option<MigrationEffort>,
    pub instance_gpu_info: Option<GpuInfo>,
    pub savings_opportunity_after_discounts: Option<AutoScalingGroupSavingsOpportunityAfterDiscounts>,
}

Describes a recommendation option for an Auto Scaling group.

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.

configuration: Option<AutoScalingGroupConfiguration>

An array of objects that describe an Auto Scaling group configuration.

projected_utilization_metrics: Option<Vec<UtilizationMetric>>

An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

performance_risk: f64

The performance risk of the Auto Scaling group configuration recommendation.

Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

rank: i32

The rank of the Auto Scaling group recommendation option.

The top recommendation option is ranked as 1.

savings_opportunity: Option<SavingsOpportunity>

An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

migration_effort: Option<MigrationEffort>

The level of effort required to migrate from the current instance type to the recommended instance type.

For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.

instance_gpu_info: Option<GpuInfo>

Describes the GPU accelerator settings for the recommended instance type of the Auto Scaling group.

savings_opportunity_after_discounts: Option<AutoScalingGroupSavingsOpportunityAfterDiscounts>

An object that describes the savings opportunity for the Auto Scaling group recommendation option that includes Savings Plans and Reserved Instances discounts. Savings opportunity includes the estimated monthly savings and percentage.

Implementations

impl AutoScalingGroupRecommendationOption

pub fn configuration(&self) -> Option<&AutoScalingGroupConfiguration>

An array of objects that describe an Auto Scaling group configuration.

pub fn projected_utilization_metrics(&self) -> &[UtilizationMetric]

An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

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

pub fn performance_risk(&self) -> f64

The performance risk of the Auto Scaling group configuration recommendation.

Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

pub fn rank(&self) -> i32

The rank of the Auto Scaling group recommendation option.

The top recommendation option is ranked as 1.

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

An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

pub fn migration_effort(&self) -> Option<&MigrationEffort>

The level of effort required to migrate from the current instance type to the recommended instance type.

For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.

pub fn instance_gpu_info(&self) -> Option<&GpuInfo>

Describes the GPU accelerator settings for the recommended instance type of the Auto Scaling group.

pub fn savings_opportunity_after_discounts( &self ) -> Option<&AutoScalingGroupSavingsOpportunityAfterDiscounts>

An object that describes the savings opportunity for the Auto Scaling group recommendation option that includes Savings Plans and Reserved Instances discounts. Savings opportunity includes the estimated monthly savings and percentage.

impl AutoScalingGroupRecommendationOption

pub fn builder() -> AutoScalingGroupRecommendationOptionBuilder

Creates a new builder-style object to manufacture AutoScalingGroupRecommendationOption.

Trait Implementations

impl Clone for AutoScalingGroupRecommendationOption

fn clone(&self) -> AutoScalingGroupRecommendationOption

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AutoScalingGroupRecommendationOption

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

Formats the value using the given formatter.

impl PartialEq for AutoScalingGroupRecommendationOption

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