| Column Name | Column Data Type |
|---|
account_ids Input Column
The ID of the Amazon Web Services account for which to return function recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to return function recommendations. Only one account ID can be specified per request. | VARCHAR[] |
Show child fields- account_ids[]
|
filters Input Column
An array of objects to specify a filter that returns a more specific list of function recommendations. | STRUCT(
"name" VARCHAR,
"values" VARCHAR[]
)[] |
Show child fields- filters[]
Show child fields- filters[].name
The name of the filter. Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized). Specify FindingReasonCode to return recommendations with a specific finding reason code (for example, MemoryUnderprovisioned). You can filter your Lambda function recommendations by tag:key and tag-key tags. A tag:key is a key and value combination of a tag assigned to your Lambda function recommendations. Use the tag key in the filter name and the tag value as the filter value. For example, to find all Lambda function recommendations that have a tag with the key of Owner and the value of TeamA, specify tag:Owner for the filter name and TeamA for the filter value. A tag-key is the key of a tag assigned to your Lambda function recommendations. Use this filter to find all of your Lambda function recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can find your Lambda function recommendations with a tag key value of Owner or without any tag keys assigned. - filters[].values[]
|
function_arns Input Column
The Amazon Resource Name (ARN) of the functions for which to return recommendations. You can specify a qualified or unqualified ARN. If you specify an unqualified ARN without a function version suffix, Compute Optimizer will return recommendations for the latest ($LATEST) version of the function. If you specify a qualified ARN with a version suffix, Compute Optimizer will return recommendations for the specified function version. For more information about using function versions, see Using versions in the Lambda Developer Guide. | VARCHAR[] |
Show child fields- function_arns[]
|
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
account_id
The Amazon Web Services account ID of the function. | VARCHAR |
current_memory_size
The amount of memory, in MB, that's allocated to the current function. | BIGINT |
current_performance_risk
The risk of the current Lambda function not meeting the performance needs of its workloads. The higher the risk, the more likely the current Lambda function requires more memory. | VARCHAR |
effective_recommendation_preferences
Describes the effective recommendation preferences for Lambda functions. | STRUCT(
"savings_estimation_mode" STRUCT(
"source" VARCHAR
)
) |
Show child fields- effective_recommendation_preferences.savings_estimation_mode
Describes the savings estimation mode applied for calculating savings opportunity for Lambda functions. Show child fields- effective_recommendation_preferences.savings_estimation_mode.source
Describes the source for calculation of savings opportunity for Lambda functions.
|
finding
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. | VARCHAR |
finding_reason_codes
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 in the 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. | VARCHAR[] |
Show child fields- finding_reason_codes[]
|
function_arn
The Amazon Resource Name (ARN) of the current function. | VARCHAR |
function_version
The version number of the current function. | VARCHAR |
last_refresh_timestamp
The timestamp of when the function recommendation was last generated. | TIMESTAMP_S |
lookback_period_in_days
The number of days for which utilization metrics were analyzed for the function. | DOUBLE |
memory_size_recommendation_options
An array of objects that describe the memory configuration recommendation options for the function. | STRUCT(
"rank" BIGINT,
"memory_size" BIGINT,
"projected_utilization_metrics" STRUCT(
"name" VARCHAR,
"statistic" VARCHAR,
"value" DOUBLE
)[],
"savings_opportunity" STRUCT(
"savings_opportunity_percentage" DOUBLE,
"estimated_monthly_savings" STRUCT(
"currency" VARCHAR,
"value" DOUBLE
)
),
"savings_opportunity_after_discounts" STRUCT(
"savings_opportunity_percentage" DOUBLE,
"estimated_monthly_savings" STRUCT(
"currency" VARCHAR,
"value" DOUBLE
)
)
)[] |
Show child fields- memory_size_recommendation_options[]
Show child fields- memory_size_recommendation_options[].memory_size
The memory size, in MB, of the function recommendation option. - memory_size_recommendation_options[].projected_utilization_metrics[]
Show child fields- memory_size_recommendation_options[].projected_utilization_metrics[].name
The name of the projected utilization metric. - memory_size_recommendation_options[].projected_utilization_metrics[].statistic
The statistic of the projected utilization metric. - memory_size_recommendation_options[].projected_utilization_metrics[].value
The values of the projected utilization metrics.
- memory_size_recommendation_options[].rank
The rank of the function recommendation option. The top recommendation option is ranked as 1. - memory_size_recommendation_options[].savings_opportunity
An object that describes the savings opportunity for the Lambda function recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage. Show child fields- memory_size_recommendation_options[].savings_opportunity.estimated_monthly_savings
An object that describes the estimated monthly savings amount possible by adopting Compute Optimizer recommendations for a given resource. This is based on the On-Demand instance pricing.. Show child fields- memory_size_recommendation_options[].savings_opportunity.estimated_monthly_savings.currency
The currency of the estimated monthly savings. - memory_size_recommendation_options[].savings_opportunity.estimated_monthly_savings.value
The value of the estimated monthly savings.
- memory_size_recommendation_options[].savings_opportunity.savings_opportunity_percentage
The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer recommendations for a given resource.
- memory_size_recommendation_options[].savings_opportunity_after_discounts
An object that describes the savings opportunity for the Lambda recommendation option which includes Saving Plans discounts. Savings opportunity includes the estimated monthly savings and percentage. Show child fields- memory_size_recommendation_options[].savings_opportunity_after_discounts.estimated_monthly_savings
The estimated monthly savings possible by adopting Compute Optimizer’s Lambda function recommendations. This includes any applicable Savings Plans discounts. Show child fields- memory_size_recommendation_options[].savings_opportunity_after_discounts.estimated_monthly_savings.currency
The currency of the estimated monthly savings. - memory_size_recommendation_options[].savings_opportunity_after_discounts.estimated_monthly_savings.value
The value of the estimated monthly savings.
- memory_size_recommendation_options[].savings_opportunity_after_discounts.savings_opportunity_percentage
The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer’s Lambda function recommendations. This includes any applicable Savings Plans discounts.
|
number_of_invocations
The number of times your function code was applied during the look-back period. | BIGINT |
tags
A list of tags assigned to your Lambda function recommendations. | STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[] |
Show child fields- tags[]
Show child fields- tags[].key
One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values. - tags[].value
One part of a key-value pair that make up a tag. A value acts as a descriptor within a tag category (key). The value can be empty or null.
|
utilization_metrics
An array of objects that describe the utilization metrics of the function. | STRUCT(
"name" VARCHAR,
"statistic" VARCHAR,
"value" DOUBLE
)[] |
Show child fields- utilization_metrics[]
Show child fields- utilization_metrics[].name
The name of the utilization metric. The following utilization metrics are available: - utilization_metrics[].statistic
The statistic of the utilization metric. The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum/SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide. - utilization_metrics[].value
The value of the utilization metric.
|