Hey Folks, I am looking for some advice on memory recommendation on lambda cold starts for Python specifically. It looks to me like some of our cold starts are taking more than 1 second while using 512 memory. I want to bump it up, but not sure if I should go to 1024 or much greater. With C# and Java we had to go up to like 3k to get cold start times way down, but then it actually ran the stuff WAY faster, so it saved us money long term. I don’t think it’s the same case for Python. It may mostly be a moot point with my healtchecks keeping things warm. Could you guys suggest me specific memory recommendations to python lambda function keep warm. Great Thanks for your precious time!

This helps with right-sizing of memory - https://github.com/alexcasalboni/aws-lambda-power-tuning

Great Thanks Ross! for suggesting me ^ I have just seen it once but not tried. Now i will try and take necessary action