[brianshaler]

> granularly tweak resource utilization on a per-operation basis

This is a really good point. Either I took a thorny path learning Lambda or they don't make it terribly obvious that when you pre-allocate larger amounts of RAM (thus more $$$ in GB/s cost) you also gain substantially better CPU performance.

So when you have a compute intensive task with a low memory footprint and want to improve latency, you may actually want to allocate lots of unused RAM.

[dgb23]

I don’t know how this works. But I’m curious:

Wouldn’t it be more cost effective to have one big address space than a lot of fine tuned ones? Even if you’re stateless, you could benefit from the fact that utilization spikes can be handled with less overall redundancy. Assuming the dollar cost is proportional per allocation.