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Paws::ComputeOptimizer::LambdaFunctionRecommendation(3) User Contributed Perl Documentation Paws::ComputeOptimizer::LambdaFunctionRecommendation(3)

Paws::ComputeOptimizer::LambdaFunctionRecommendation

This class represents one of two things:

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  });

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

Describes an AWS Lambda function recommendation.

The AWS account ID of the function.

The amount of memory, in MB, that's allocated to the current function.

The finding classification of the function.

Findings for functions include:

  • "Optimized" — 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.
  • "NotOptimized" — 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 "MemoryUnderprovisioned" and "MemoryUnderprovisioned" finding reason codes.
  • "Unavailable" — 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 "InsufficientData" and "Inconclusive" finding reason codes.

    Functions with a finding of unavailable are not returned unless you specify the "filter" parameter with a value of "Unavailable" in your "GetLambdaFunctionRecommendations" request.

The reason for the finding classification of the function.

Functions that have a finding classification of "Optimized" don't have a finding reason code.

Finding reason codes for functions include:

  • "MemoryOverprovisioned" — 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 "NotOptimized" finding classification.
  • "MemoryUnderprovisioned" — 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 "NotOptimized" finding classification.
  • "InsufficientData" — 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 AWS Compute Optimizer User Guide. This finding reason code is part of the "Unavailable" finding classification.
  • "Inconclusive" — 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 "Unavailable" finding classification.

The Amazon Resource Name (ARN) of the current function.

The version number of the current function.

The time stamp of when the function recommendation was last refreshed.

The number of days for which utilization metrics were analyzed for the function.

An array of objects that describe the memory configuration recommendation options for the function.

The number of times your function code was executed during the look-back period.

An array of objects that describe the utilization metrics of the function.

This class forms part of Paws, describing an object used in Paws::ComputeOptimizer

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>

2022-06-01 perl v5.40.2

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