/AWS1/CL_COPECSSVCRECOMMENDA01

Describes an Amazon ECS service recommendation.

CONSTRUCTOR

IMPORTING

Optional arguments:

iv_servicearn TYPE /AWS1/COPSERVICEARN /AWS1/COPSERVICEARN

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

iv_accountid TYPE /AWS1/COPACCOUNTID /AWS1/COPACCOUNTID

The Amazon Web Services account ID of the Amazon ECS service.

io_currentserviceconf TYPE REF TO /AWS1/CL_COPSERVICECONF /AWS1/CL_COPSERVICECONF

The configuration of the current Amazon ECS service.

it_utilizationmetrics TYPE /AWS1/CL_COPECSSVCUTILIZATIO00=>TT_ECSSERVICEUTILIZATIONMET TT_ECSSERVICEUTILIZATIONMET

An array of objects that describe the utilization metrics of the Amazon ECS service.

iv_lookbackperiodindays TYPE /AWS1/RT_DOUBLE_AS_STRING /AWS1/RT_DOUBLE_AS_STRING

The number of days the Amazon ECS service utilization metrics were analyzed.

iv_launchtype TYPE /AWS1/COPECSSERVICELAUNCHTYPE /AWS1/COPECSSERVICELAUNCHTYPE

The launch type the Amazon ECS service is using.

Compute Optimizer only supports the Fargate launch type.

iv_lastrefreshtimestamp TYPE /AWS1/COPLASTREFRESHTIMESTAMP /AWS1/COPLASTREFRESHTIMESTAMP

The timestamp of when the Amazon ECS service recommendation was last generated.

iv_finding TYPE /AWS1/COPECSSVCRECOMMENDATIO01 /AWS1/COPECSSVCRECOMMENDATIO01

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.

it_findingreasoncodes TYPE /AWS1/CL_COPECSSVCRECOMMENDA02=>TT_ECSSVCRECOMMENDATIONFNDGRCS TT_ECSSVCRECOMMENDATIONFNDGRCS

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 the CPUUtilization metric 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 the CPUUtilization metric 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 the MemoryUtilization metric 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 the MemoryUtilization metric of the current service during the look-back period.

it_svcrecommendationoptions TYPE /AWS1/CL_COPECSSVCRECOMMENDA03=>TT_ECSSVCRECOMMENDATIONOPTIONS TT_ECSSVCRECOMMENDATIONOPTIONS

An array of objects that describe the recommendation options for the Amazon ECS service.

iv_currentperformancerisk TYPE /AWS1/COPCURRENTPERFORMANCER00 /AWS1/COPCURRENTPERFORMANCER00

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.

io_effectiverecommendation00 TYPE REF TO /AWS1/CL_COPECSEFFECTIVERECO00 /AWS1/CL_COPECSEFFECTIVERECO00

Describes the effective recommendation preferences for Amazon ECS services.

it_tags TYPE /AWS1/CL_COPTAG=>TT_TAGS TT_TAGS

A list of tags assigned to your Amazon ECS service recommendations.

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Queryable Attributes

serviceArn

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

Accessible with the following methods

Method	Description
GET_SERVICEARN()	Getter for SERVICEARN, with configurable default
ASK_SERVICEARN()	Getter for SERVICEARN w/ exceptions if field has no value
HAS_SERVICEARN()	Determine if SERVICEARN has a value

accountId

The Amazon Web Services account ID of the Amazon ECS service.

Accessible with the following methods

Method	Description
GET_ACCOUNTID()	Getter for ACCOUNTID, with configurable default
ASK_ACCOUNTID()	Getter for ACCOUNTID w/ exceptions if field has no value
HAS_ACCOUNTID()	Determine if ACCOUNTID has a value

currentServiceConfiguration

The configuration of the current Amazon ECS service.

Accessible with the following methods

Method	Description
GET_CURRENTSERVICECONF()	Getter for CURRENTSERVICECONFIGURATION

utilizationMetrics

An array of objects that describe the utilization metrics of the Amazon ECS service.

Accessible with the following methods

Method	Description
GET_UTILIZATIONMETRICS()	Getter for UTILIZATIONMETRICS, with configurable default
ASK_UTILIZATIONMETRICS()	Getter for UTILIZATIONMETRICS w/ exceptions if field has no
HAS_UTILIZATIONMETRICS()	Determine if UTILIZATIONMETRICS has a value

lookbackPeriodInDays

The number of days the Amazon ECS service utilization metrics were analyzed.

Accessible with the following methods

Method	Description
GET_LOOKBACKPERIODINDAYS()	Getter for LOOKBACKPERIODINDAYS
ASK_LOOKBACKPERIODINDAYS()	Getter for LOOKBACKPERIODINDAYS w/ exceptions if field has n
STR_LOOKBACKPERIODINDAYS()	String format for LOOKBACKPERIODINDAYS

launchType

The launch type the Amazon ECS service is using.

Compute Optimizer only supports the Fargate launch type.

Accessible with the following methods

Method	Description
GET_LAUNCHTYPE()	Getter for LAUNCHTYPE, with configurable default
ASK_LAUNCHTYPE()	Getter for LAUNCHTYPE w/ exceptions if field has no value
HAS_LAUNCHTYPE()	Determine if LAUNCHTYPE has a value

lastRefreshTimestamp

The timestamp of when the Amazon ECS service recommendation was last generated.

Accessible with the following methods

Method	Description
GET_LASTREFRESHTIMESTAMP()	Getter for LASTREFRESHTIMESTAMP, with configurable default
ASK_LASTREFRESHTIMESTAMP()	Getter for LASTREFRESHTIMESTAMP w/ exceptions if field has n
HAS_LASTREFRESHTIMESTAMP()	Determine if LASTREFRESHTIMESTAMP has a value

finding

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.

Accessible with the following methods

Method	Description
GET_FINDING()	Getter for FINDING, with configurable default
ASK_FINDING()	Getter for FINDING w/ exceptions if field has no value
HAS_FINDING()	Determine if FINDING has a value

findingReasonCodes

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 the CPUUtilization metric 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 the CPUUtilization metric 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 the MemoryUtilization metric 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 the MemoryUtilization metric of the current service during the look-back period.

Accessible with the following methods

Method	Description
GET_FINDINGREASONCODES()	Getter for FINDINGREASONCODES, with configurable default
ASK_FINDINGREASONCODES()	Getter for FINDINGREASONCODES w/ exceptions if field has no
HAS_FINDINGREASONCODES()	Determine if FINDINGREASONCODES has a value

serviceRecommendationOptions

An array of objects that describe the recommendation options for the Amazon ECS service.

Accessible with the following methods

Method	Description
GET_SVCRECOMMENDATIONOPTIONS()	Getter for SERVICERECOMMENDATIONOPTIONS, with configurable d
ASK_SVCRECOMMENDATIONOPTIONS()	Getter for SERVICERECOMMENDATIONOPTIONS w/ exceptions if fie
HAS_SVCRECOMMENDATIONOPTIONS()	Determine if SERVICERECOMMENDATIONOPTIONS has a value

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.

Accessible with the following methods

Method	Description
GET_CURRENTPERFORMANCERISK()	Getter for CURRENTPERFORMANCERISK, with configurable default
ASK_CURRENTPERFORMANCERISK()	Getter for CURRENTPERFORMANCERISK w/ exceptions if field has
HAS_CURRENTPERFORMANCERISK()	Determine if CURRENTPERFORMANCERISK has a value

effectiveRecommendationPreferences

Describes the effective recommendation preferences for Amazon ECS services.

Accessible with the following methods

Method	Description
GET_EFFECTIVERECOMMENDATIO00()	Getter for EFFECTIVERECOMMENDATIONPRE00

tags

A list of tags assigned to your Amazon ECS service recommendations.

Accessible with the following methods

Method	Description
GET_TAGS()	Getter for TAGS, with configurable default
ASK_TAGS()	Getter for TAGS w/ exceptions if field has no value
HAS_TAGS()	Determine if TAGS has a value

Public Local Types In This Class

Internal table types, representing arrays and maps of this class, are defined as local types:

TT_ECSSERVICERECOMMENDATIONS

TYPES TT_ECSSERVICERECOMMENDATIONS TYPE STANDARD TABLE OF REF TO /AWS1/CL_COPECSSVCRECOMMENDA01 WITH DEFAULT KEY
.