#[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>,
}
Expand description
Describes a recommendation option for an Auto Scaling group.
Fields (Non-exhaustive)
This struct is marked as non-exhaustive
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.
Implementations
sourceimpl AutoScalingGroupRecommendationOption
impl AutoScalingGroupRecommendationOption
sourcepub fn configuration(&self) -> Option<&AutoScalingGroupConfiguration>
pub fn configuration(&self) -> Option<&AutoScalingGroupConfiguration>
An array of objects that describe an Auto Scaling group configuration.
sourcepub fn projected_utilization_metrics(&self) -> Option<&[UtilizationMetric]>
pub fn projected_utilization_metrics(&self) -> Option<&[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.
sourcepub fn performance_risk(&self) -> f64
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.
sourcepub fn rank(&self) -> i32
pub fn rank(&self) -> i32
The rank of the Auto Scaling group recommendation option.
The top recommendation option is ranked as 1
.
sourcepub fn savings_opportunity(&self) -> Option<&SavingsOpportunity>
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.
sourcepub fn migration_effort(&self) -> Option<&MigrationEffort>
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.
sourceimpl AutoScalingGroupRecommendationOption
impl AutoScalingGroupRecommendationOption
sourcepub fn builder() -> Builder
pub fn builder() -> Builder
Creates a new builder-style object to manufacture AutoScalingGroupRecommendationOption
Trait Implementations
sourceimpl Clone for AutoScalingGroupRecommendationOption
impl Clone for AutoScalingGroupRecommendationOption
sourcefn clone(&self) -> AutoScalingGroupRecommendationOption
fn clone(&self) -> AutoScalingGroupRecommendationOption
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl PartialEq<AutoScalingGroupRecommendationOption> for AutoScalingGroupRecommendationOption
impl PartialEq<AutoScalingGroupRecommendationOption> for AutoScalingGroupRecommendationOption
sourcefn eq(&self, other: &AutoScalingGroupRecommendationOption) -> bool
fn eq(&self, other: &AutoScalingGroupRecommendationOption) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &AutoScalingGroupRecommendationOption) -> bool
fn ne(&self, other: &AutoScalingGroupRecommendationOption) -> bool
This method tests for !=
.
impl StructuralPartialEq for AutoScalingGroupRecommendationOption
Auto Trait Implementations
impl RefUnwindSafe for AutoScalingGroupRecommendationOption
impl Send for AutoScalingGroupRecommendationOption
impl Sync for AutoScalingGroupRecommendationOption
impl Unpin for AutoScalingGroupRecommendationOption
impl UnwindSafe for AutoScalingGroupRecommendationOption
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcepub fn borrow_mut(&mut self) -> &mut T
pub fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcepub fn to_owned(&self) -> T
pub fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
sourcepub fn clone_into(&self, target: &mut T)
pub fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more