Memory consumption

[RealHarshThakur]

Hey, I used serverless-python-requirements and kept these lines in my serverless.yml
custom:

pythonRequirements:
slim: true`

When I performed serverless deploy , it showed "Running" in the output and after a while, I ran out of RAM and had to reboot my laptop. Can I set a limit somehow to avoid this?

[RealHarshThakur]

I am guessing the solution for now might be to use dockerizePip with arguments to set the memory limit.

[bsamuel-ui]

If you've worked out those arguments, can you document them here? That would be a useful workaround for others, I'm sure.

This may not be something we're in a position to solve. If docker is bringing down your machine, that's something docker ought to address. And there's no obvious correct limit for memory as installing python dependencies necessarily involves executing a very broad variety of code, even potentially running a whole compiler toolchain.

It may also be something we're doing that's inadvertently causing a memory spike, but we'll need to be able to reproduce it. But my suspicion is that it's simply due to the fact that we're running a bunch of memory hungry tools inside a container and there's not much we can do about that.

Sorry I can't give you a better answer.

[RealHarshThakur]

@bsamuel-ui , I couldn't have described the issue any better. One of my python dependency had to use cmake. I just had to set limit to docker image while building. Maybe just adding it to docs would help others running into this issue?

custom:
pythonRequirements:
dockerizePip: true
dockerBuildCmdExtraArgs: ['-m, '500mb']