I'm comparing GCF & cloud competitors, and I see that GCF charges separately for memory (GB/s) & compute (GHz/s) from their pricing page:
https://cloud.google.com/functions/pricing
I'm wondering if this means I can configure memory size separately from compute size? e.g. can I scale a memory expensive function to have e.g. 4GB of memory & only 1.4GHz of compute? Or do I have to stick to one of the 7 types as per "Cloud Functions can be provisioned as one of 7 types". In the 4GB example above, that would mean I'd need to have 4.8GHz in addition to 4GB. If I could configure these separately, I might be able to save some money.
They cannot be configured independently. The documentation says:
Cloud Functions can be provisioned as one of 7 types:
And that needs to be taken literally - there are only 7 options for configuring the instances that run a function. You are effectively paying a static rate for GB-GHz-seconds of time for your chosen config, as the table shows.