I’ve got a lambda function that executes a docker application. When testing it locally, the Memory Size was 3008 MB and the Max Memory Used was also 3008 MB, so the memory usage matched the allocated memory. However, after deploying it to AWS lambda, the figures changed to Memory Size: 2048 MB and Max Memory Used: 307 MB.

I’m wondering how I can fully utilize the memory. I found a post online that mentioned, “After 1.7 GB of memory is reached, every additional MB still means more power — but on additional CPU cores. In theory, only multi-processing functions benefit from more than 1.7GB of memory!” Any ideas or suggestions on this would be really helpful!

Great Thanks.
Ryan