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2 years agoDo you mean that it’s still the case that more resources are allocated than actually used or that the code does not need to be optimized anymore due to elastic compute?
Do you mean that it’s still the case that more resources are allocated than actually used or that the code does not need to be optimized anymore due to elastic compute?
You might be right.
Cue the Sherlock theme.
Another hint:
“I don’t believe you heard us or Larian say that this was about parity in terms of parity.”
In another article it makes more sense:
"In terms of parity, I don’t think you’ve heard from us or Larian, that this was about parity,” he told Eurogamer.
But at least the subtitle must have been typed since there is an extra character in “f+ears”.
The taxonomy in biology can be really confusing. Potatoes (only their fruits), peppers, cucumbers, eggplants, avocados, lemons, oranges, kiwifruit and papayas are also in the berry club.
If I remember correctly, that was the original idea of AWS, to offer their free capacity to paying customers.
Do you think that AWS in particular has this problem or Azure and GCP as well? I have mainly worked with DWHs in Snowflake, where you can adjust the compute capacity within seconds. So you pay almost exactly for the capacity you really need.
Not having to optimize queries is a good selling point for cloud-based databases, too.
It is certainly still cheaper than self-hosted on-premises infrastructure.