Impact of Node.js Version Updates on Memory Consumption in AWS Lambda

I'm interested in understanding how updating to newer Node.js versions in AWS Lambda functions can affect memory consumption. From my research, I've learned that different Node.js versions can have varying memory footprints and optimizations, as well as changes in memory management and garbage collection algorithms (e.g., the move from mark-sweep to semi-space/compact GC in Node.js 10.x).
However, I haven't been able to find a comprehensive resource or changelog that specifically outlines the memory consumption changes associated with Node.js version updates in the AWS Lambda environment.

Recently, I updated the Node.js version for my Lambda functions from 16 to 20, and I have been receiving alarms for increased memory usage since then.

It would be extremely helpful if the AWS Lambda team could provide more detailed information and guidance on this topic, potentially covering:

- How memory consumption is impacted when upgrading from one Node.js version to another (e.g., 8.10 to 10.x, 10.x to 12.x, etc.) in AWS Lambda functions.
- Any recommended best practices or strategies for mitigating potential memory consumption increases when updating Node.js versions.
- Examples or case studies demonstrating the memory consumption differences between Node.js versions in AWS Lambda functions.
- Performance benchmarks or metrics highlighting the memory usage patterns of different Node.js versions in the AWS Lambda environment.

Having this information readily available would help Lambda developers make informed decisions about Node.js version updates and optimize their functions for memory consumption and cost-effectiveness.
Thank you for your time and consideration. I look forward to any insights or resources the AWS Lambda team can provide on this topic.

未識別出任何 repository 檔案、測試或進入點。首先比較所回報的 Node.js 16 到 20 的 AWS Lambda 記憶體使用情況，並檢視所要求的版本歷史、緩解措施指南、範例和基準測試。完成標準是提供一份有文件記錄的完整資源，涵蓋這些比較和建議。

由索引模型根據 Issue 內容生成。