> if you have a specialised workload (CPU heavy, storage heavy, etc) there's definitely cost savings at scale for DIY I wasn't sure what your use "heavy" means

> if you have a specialised workload (CPU heavy, storage heavy, etc) there's definitely cost savings at scale for DIY I wasn't sure what your use "heavy" means here -- is it "a lot of" or "disproportionate"? Years ago there was much less flexibility with IaaS machine shapes, but I was super impressed when Google launched "custom machine types". There's a little slider to scale up/down your RAM/CPU independently, and of course storage is already independent. In fairness, there is some correlation between CPU allocation and storage IOPS, but that's inherent to scheduling a portion of the host machine reasonably. https://cloud.google.com/compute/docs/instances/creating-instance-with-custom-machine-type https://cloud.google.com/compute/docs/instances/creating-ins...