#[non_exhaustive]pub struct EcsServiceRecommendation {Show 13 fields
pub service_arn: Option<String>,
pub account_id: Option<String>,
pub current_service_configuration: Option<ServiceConfiguration>,
pub utilization_metrics: Option<Vec<EcsServiceUtilizationMetric>>,
pub lookback_period_in_days: f64,
pub launch_type: Option<EcsServiceLaunchType>,
pub last_refresh_timestamp: Option<DateTime>,
pub finding: Option<EcsServiceRecommendationFinding>,
pub finding_reason_codes: Option<Vec<EcsServiceRecommendationFindingReasonCode>>,
pub service_recommendation_options: Option<Vec<EcsServiceRecommendationOption>>,
pub current_performance_risk: Option<CurrentPerformanceRisk>,
pub effective_recommendation_preferences: Option<EcsEffectiveRecommendationPreferences>,
pub tags: Option<Vec<Tag>>,
}Expand description
Describes an Amazon ECS service recommendation.
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.service_arn: Option<String>The Amazon Resource Name (ARN) of the current Amazon ECS service.
The following is the format of the ARN:
arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name
account_id: Option<String>The Amazon Web Services account ID of the Amazon ECS service.
current_service_configuration: Option<ServiceConfiguration>The configuration of the current Amazon ECS service.
utilization_metrics: Option<Vec<EcsServiceUtilizationMetric>>An array of objects that describe the utilization metrics of the Amazon ECS service.
lookback_period_in_days: f64The number of days the Amazon ECS service utilization metrics were analyzed.
launch_type: Option<EcsServiceLaunchType>The launch type the Amazon ECS service is using.
Compute Optimizer only supports the Fargate launch type.
last_refresh_timestamp: Option<DateTime>The timestamp of when the Amazon ECS service recommendation was last generated.
finding: Option<EcsServiceRecommendationFinding>The finding classification of an Amazon ECS service.
Findings for Amazon ECS services include:
-
Underprovisioned— When Compute Optimizer detects that there’s not enough memory or CPU, an Amazon ECS service is considered under-provisioned. An under-provisioned service might result in poor application performance. -
Overprovisioned— When Compute Optimizer detects that there’s excessive memory or CPU, an Amazon ECS service is considered over-provisioned. An over-provisioned service might result in additional infrastructure costs. -
Optimized— When both the CPU and memory of your Amazon ECS service meet the performance requirements of your workload, the service is considered optimized.
finding_reason_codes: Option<Vec<EcsServiceRecommendationFindingReasonCode>>The reason for the finding classification of an Amazon ECS service.
Finding reason codes for Amazon ECS services include:
-
CPUUnderprovisioned— The service CPU configuration can be sized up to enhance the performance of your workload. This is identified by analyzing theCPUUtilizationmetric of the current service during the look-back period. -
CPUOverprovisioned— The service CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing theCPUUtilizationmetric of the current service during the look-back period. -
MemoryUnderprovisioned— The service memory configuration can be sized up to enhance the performance of your workload. This is identified by analyzing theMemoryUtilizationmetric of the current service during the look-back period. -
MemoryOverprovisioned— The service memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing theMemoryUtilizationmetric of the current service during the look-back period.
service_recommendation_options: Option<Vec<EcsServiceRecommendationOption>>An array of objects that describe the recommendation options for the Amazon ECS service.
current_performance_risk: Option<CurrentPerformanceRisk>The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher the risk, the more likely the current service can't meet the performance requirements of its workload.
effective_recommendation_preferences: Option<EcsEffectiveRecommendationPreferences>Describes the effective recommendation preferences for Amazon ECS services.
A list of tags assigned to your Amazon ECS service recommendations.
Implementations§
Source§impl EcsServiceRecommendation
impl EcsServiceRecommendation
Sourcepub fn service_arn(&self) -> Option<&str>
pub fn service_arn(&self) -> Option<&str>
The Amazon Resource Name (ARN) of the current Amazon ECS service.
The following is the format of the ARN:
arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name
Sourcepub fn account_id(&self) -> Option<&str>
pub fn account_id(&self) -> Option<&str>
The Amazon Web Services account ID of the Amazon ECS service.
Sourcepub fn current_service_configuration(&self) -> Option<&ServiceConfiguration>
pub fn current_service_configuration(&self) -> Option<&ServiceConfiguration>
The configuration of the current Amazon ECS service.
Sourcepub fn utilization_metrics(&self) -> &[EcsServiceUtilizationMetric]
pub fn utilization_metrics(&self) -> &[EcsServiceUtilizationMetric]
An array of objects that describe the utilization metrics of the Amazon ECS service.
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_metrics.is_none().
Sourcepub fn lookback_period_in_days(&self) -> f64
pub fn lookback_period_in_days(&self) -> f64
The number of days the Amazon ECS service utilization metrics were analyzed.
Sourcepub fn launch_type(&self) -> Option<&EcsServiceLaunchType>
pub fn launch_type(&self) -> Option<&EcsServiceLaunchType>
The launch type the Amazon ECS service is using.
Compute Optimizer only supports the Fargate launch type.
Sourcepub fn last_refresh_timestamp(&self) -> Option<&DateTime>
pub fn last_refresh_timestamp(&self) -> Option<&DateTime>
The timestamp of when the Amazon ECS service recommendation was last generated.
Sourcepub fn finding(&self) -> Option<&EcsServiceRecommendationFinding>
pub fn finding(&self) -> Option<&EcsServiceRecommendationFinding>
The finding classification of an Amazon ECS service.
Findings for Amazon ECS services include:
-
Underprovisioned— When Compute Optimizer detects that there’s not enough memory or CPU, an Amazon ECS service is considered under-provisioned. An under-provisioned service might result in poor application performance. -
Overprovisioned— When Compute Optimizer detects that there’s excessive memory or CPU, an Amazon ECS service is considered over-provisioned. An over-provisioned service might result in additional infrastructure costs. -
Optimized— When both the CPU and memory of your Amazon ECS service meet the performance requirements of your workload, the service is considered optimized.
Sourcepub fn finding_reason_codes(
&self,
) -> &[EcsServiceRecommendationFindingReasonCode]
pub fn finding_reason_codes( &self, ) -> &[EcsServiceRecommendationFindingReasonCode]
The reason for the finding classification of an Amazon ECS service.
Finding reason codes for Amazon ECS services include:
-
CPUUnderprovisioned— The service CPU configuration can be sized up to enhance the performance of your workload. This is identified by analyzing theCPUUtilizationmetric of the current service during the look-back period. -
CPUOverprovisioned— The service CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing theCPUUtilizationmetric of the current service during the look-back period. -
MemoryUnderprovisioned— The service memory configuration can be sized up to enhance the performance of your workload. This is identified by analyzing theMemoryUtilizationmetric of the current service during the look-back period. -
MemoryOverprovisioned— The service memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing theMemoryUtilizationmetric of the current service during the look-back period.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .finding_reason_codes.is_none().
Sourcepub fn service_recommendation_options(
&self,
) -> &[EcsServiceRecommendationOption]
pub fn service_recommendation_options( &self, ) -> &[EcsServiceRecommendationOption]
An array of objects that describe the recommendation options for the Amazon ECS service.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .service_recommendation_options.is_none().
Sourcepub fn current_performance_risk(&self) -> Option<&CurrentPerformanceRisk>
pub fn current_performance_risk(&self) -> Option<&CurrentPerformanceRisk>
The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher the risk, the more likely the current service can't meet the performance requirements of its workload.
Sourcepub fn effective_recommendation_preferences(
&self,
) -> Option<&EcsEffectiveRecommendationPreferences>
pub fn effective_recommendation_preferences( &self, ) -> Option<&EcsEffectiveRecommendationPreferences>
Describes the effective recommendation preferences for Amazon ECS services.
A list of tags assigned to your Amazon ECS service recommendations.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .tags.is_none().
Source§impl EcsServiceRecommendation
impl EcsServiceRecommendation
Sourcepub fn builder() -> EcsServiceRecommendationBuilder
pub fn builder() -> EcsServiceRecommendationBuilder
Creates a new builder-style object to manufacture EcsServiceRecommendation.
Trait Implementations§
Source§impl Clone for EcsServiceRecommendation
impl Clone for EcsServiceRecommendation
Source§fn clone(&self) -> EcsServiceRecommendation
fn clone(&self) -> EcsServiceRecommendation
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Debug for EcsServiceRecommendation
impl Debug for EcsServiceRecommendation
Source§impl PartialEq for EcsServiceRecommendation
impl PartialEq for EcsServiceRecommendation
impl StructuralPartialEq for EcsServiceRecommendation
Auto Trait Implementations§
impl Freeze for EcsServiceRecommendation
impl RefUnwindSafe for EcsServiceRecommendation
impl Send for EcsServiceRecommendation
impl Sync for EcsServiceRecommendation
impl Unpin for EcsServiceRecommendation
impl UnwindSafe for EcsServiceRecommendation
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