# Generated by default/object.tt package Paws::ComputeOptimizer::LambdaFunctionRecommendation; use Moose; has AccountId => (is => 'ro', isa => 'Str', request_name => 'accountId', traits => ['NameInRequest']); has CurrentMemorySize => (is => 'ro', isa => 'Int', request_name => 'currentMemorySize', traits => ['NameInRequest']); has Finding => (is => 'ro', isa => 'Str', request_name => 'finding', traits => ['NameInRequest']); has FindingReasonCodes => (is => 'ro', isa => 'ArrayRef[Str|Undef]', request_name => 'findingReasonCodes', traits => ['NameInRequest']); has FunctionArn => (is => 'ro', isa => 'Str', request_name => 'functionArn', traits => ['NameInRequest']); has FunctionVersion => (is => 'ro', isa => 'Str', request_name => 'functionVersion', traits => ['NameInRequest']); has LastRefreshTimestamp => (is => 'ro', isa => 'Str', request_name => 'lastRefreshTimestamp', traits => ['NameInRequest']); has LookbackPeriodInDays => (is => 'ro', isa => 'Num', request_name => 'lookbackPeriodInDays', traits => ['NameInRequest']); has MemorySizeRecommendationOptions => (is => 'ro', isa => 'ArrayRef[Paws::ComputeOptimizer::LambdaFunctionMemoryRecommendationOption]', request_name => 'memorySizeRecommendationOptions', traits => ['NameInRequest']); has NumberOfInvocations => (is => 'ro', isa => 'Int', request_name => 'numberOfInvocations', traits => ['NameInRequest']); has UtilizationMetrics => (is => 'ro', isa => 'ArrayRef[Paws::ComputeOptimizer::LambdaFunctionUtilizationMetric]', request_name => 'utilizationMetrics', traits => ['NameInRequest']); 1; ### main pod documentation begin ### =head1 NAME Paws::ComputeOptimizer::LambdaFunctionRecommendation =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::ComputeOptimizer::LambdaFunctionRecommendation object: $service_obj->Method(Att1 => { AccountId => $value, ..., UtilizationMetrics => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::ComputeOptimizer::LambdaFunctionRecommendation object: $result = $service_obj->Method(...); $result->Att1->AccountId =head1 DESCRIPTION Describes an AWS Lambda function recommendation. =head1 ATTRIBUTES =head2 AccountId => Str The AWS account ID of the function. =head2 CurrentMemorySize => Int The amount of memory, in MB, that's allocated to the current function. =head2 Finding => Str The finding classification of the function. Findings for functions include: =over =item * B > E The function is correctly provisioned to run your workload based on its current configuration and its utilization history. This finding classification does not include finding reason codes. =item * B > E The function is performing at a higher level (over-provisioned) or at a lower level (under-provisioned) than required for your workload because its current configuration is not optimal. Over-provisioned resources might lead to unnecessary infrastructure cost, and under-provisioned resources might lead to poor application performance. This finding classification can include the C and C finding reason codes. =item * B > E Compute Optimizer was unable to generate a recommendation for the function. This could be because the function has not accumulated sufficient metric data, or the function does not qualify for a recommendation. This finding classification can include the C and C finding reason codes. Functions with a finding of unavailable are not returned unless you specify the C parameter with a value of C in your C request. =back =head2 FindingReasonCodes => ArrayRef[Str|Undef] The reason for the finding classification of the function. Functions that have a finding classification of C don't have a finding reason code. Finding reason codes for functions include: =over =item * B > E The function is over-provisioned when its memory configuration can be sized down while still meeting the performance requirements of your workload. An over-provisioned function might lead to unnecessary infrastructure cost. This finding reason code is part of the C finding classification. =item * B > E The function is under-provisioned when its memory configuration doesn't meet the performance requirements of the workload. An under-provisioned function might lead to poor application performance. This finding reason code is part of the C finding classification. =item * B > E The function does not have sufficient metric data for Compute Optimizer to generate a recommendation. For more information, see the Supported resources and requirements (https://docs.aws.amazon.com/compute-optimizer/latest/ug/requirements.html) in the I. This finding reason code is part of the C finding classification. =item * B > E The function does not qualify for a recommendation because Compute Optimizer cannot generate a recommendation with a high degree of confidence. This finding reason code is part of the C finding classification. =back =head2 FunctionArn => Str The Amazon Resource Name (ARN) of the current function. =head2 FunctionVersion => Str The version number of the current function. =head2 LastRefreshTimestamp => Str The time stamp of when the function recommendation was last refreshed. =head2 LookbackPeriodInDays => Num The number of days for which utilization metrics were analyzed for the function. =head2 MemorySizeRecommendationOptions => ArrayRef[L] An array of objects that describe the memory configuration recommendation options for the function. =head2 NumberOfInvocations => Int The number of times your function code was executed during the look-back period. =head2 UtilizationMetrics => ArrayRef[L] An array of objects that describe the utilization metrics of the function. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut