[Lambda] Display vCPU Allocation

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
aws
Domain
cloud

Research direction

Start by reviewing the linked AWS Lambda memory configuration documentation and the Epsagon Lambda Memory Performance Benchmark to understand the memory-to-vCPU relationship. Done would be a visual indicator in the AWS console that communicates vCPU allocation, including the full-vCPU point around 1,769 MB.

Written by the indexing model from the issue text.

Description

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Tell us about your request
Provide a visual representation of the vCPU allocation for a Lambda function based on its configured memory size.

Which service(s) is this request for?
AWS Lambda

Tell us about the problem you're trying to solve. What are you trying to do, and why is it hard?
Currently, the amount of vCPU allocated to a Lambda function is proportional to the memory configuration, as described in the AWS Lambda documentation. However, this information is not visually displayed in the AWS console, which can lead to misunderstandings among developers and management teams.

For example, while experienced AWS developers may understand this relationship, managers or supervisors might misinterpret memory usage and suggest reducing memory allocation without realizing the impact on vCPU performance. This can result in slower execution times and increased costs.

A visual indicator, such as a progress bar or percentage display showing the vCPU allocation (e.g., full vCPU at 1,769 MB), would improve clarity for all stakeholders. It would facilitate discussions with management, enhance developers' understanding, and reduce incorrect optimization actions.

Are you currently working around this issue?
To address this, we rely on documentation and tools like Epsagon's Lambda Memory Performance Benchmark to validate the relationship between memory and vCPU allocation. However, these methods require additional effort and are not integrated into the AWS console.

Additional context
This feature would align with AWS's goal of providing intuitive and transparent tools for developers and organizations. It would also reduce the need for external tools and documentation references, streamlining the optimization process for Lambda functions.

Attachments
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Dominant language
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Stars
196
Forks
5
PR merge metrics
No merged PRs in 30d

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