I've written probably 50 lambdas in Python at this point and to be honest keeping it simple is the best way. Follow PIP standards to keep your code readability high, use the paginator objects boto3 provides where possible and try to keep the execution time down.15 minutes is pretty high for something serverless so I tend to design my lambdas to perform a single task and then use something like AWS Step Functions to orchestrate several in a flow or in Map states (loops). I also make use of environment variables where possible and template a lot of functions for common things like assuming roles. I also make use of comprehension but don't go too overboard with that because it can reduce readability if you've got a fat one defined haha. No need to add comments every other line, just a single line docstring at the top of the function should be enough to describe it. There's also some neat docker commands out there to build all your packages into a single lambda layer using a requirements.txt, using the lambda image, and this should be possible to do with Terraform, or if you've only got one or two packages just prepare it in a CI/CD and use terraform to build and apply the layer. Answer from skyflex on reddit.com