Hacker News new | ask | show | jobs
by ainzzorl 1775 days ago
Please consider adding an FAQ about how it compares to "native" AWS offerings, because it resembles a few of them.

E.g. Lambda ("run your code" without "start a cloud server" and "turn it off"), ECS (runs containers, can run a standalone task too), Fargate, Batch... The "running JupyterLab in the cloud, with automatic timeout" use case is supported by AWS Sagemaker.

Disclaimer: I'm a former AWS employee.
1 comments
blensor 1775 days ago
Lambda has currently a limit of 15 minutes as far as I can remember. I was considering it for a very cost efficient way to scale our multiplayer backend in VRWorkout (dynamically spin up room servers as needed) since it all fits in a single python module. But with the 15 minute limit it's not an option.

I would not even need data syncing since it talks to the main server and does not have state. But it would need to be reachable on a public IP

link
ainzzorl 1775 days ago
Lambda indeed is not the right tool for this. It sounds like you need some infra that can auto scale - there are many ways to do it on AWS (EC2 auto scaling, ECS, EKS), any other cloud provider, with Kubernetes...
link
blensor 1775 days ago
yes, probably, but then we are back where I need to put a lot more effort into it than I wanted to at this stage.

I really only need to cover burst usage since an average VRWorkout session is only ~10-20 minutes anyway and with players being distributed around the world there is usually no need to boost the available resources.

That's a problem I would like to have down the road when we have millions of people doing VR fitness though :)

link