Cloud VM Resource Allocation
The cluster discusses how cloud providers like DigitalOcean, Linode, and others allocate CPU and RAM resources to virtual machines, focusing on shared vCPUs, dedicated RAM, overcommitment, and performance implications compared to dedicated instances.
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RAM is dedicated on DigitalOcean, CPU's are not - the virtual cores are shared to some extent on almost any cloud provider if you do the math.
Yeah shared vCPU can be really bad.
Lots of VMs. VMs don't need much CPU time but oh boy do they need the RAM.
Do it, they're incentivizing you to bring up 8 VMs or 1 really big VM.
What if you were running a few virtual machines to develop (very common workload)?
Doesn't seem likely. VMs impose limits on resource consumption (though Rackspace allows CPU bursting, from what I understand). It's not like the old days where you could get lucky on a sparsely-populated shared server.
Tell me you're joking ?You're actually comparing virtual CPUs between two providers.
Citation needed for what? its common knowledge that the major clouds VMs with lower performance and higher cost in exchange for flexibility.
They're both using the same virtualization. What's your use case that requires that much CPU? I'd bet spot instances would be a better fit in most cases.
Not to my knowledge, no. If it's a virtualized server, maybe this works, but to my knowledge most companies try to maximize their hardware usage through a variety of slices/sizes based on underlying resources. I am not a datacenter expert however.