| ▲ | londons_explore 2 hours ago | ||||||||||||||||||||||||||||||||||||||||||||||||||||
These kind of limits happen all the time for big clients. Cloud services like to present the illusion of an infinite amount of compute available at a fixed price per unit, but the reality is if you try to use too much of any service you'll find you have a quota and requests to increase it will fall on deaf ears if the provider doesn't have more of that resource. Too much of my working life has been spent shoehorning services into less space/compute/ram/spindles or migrations to other data centers to solve such issues. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| ▲ | gchamonlive an hour ago | parent [-] | ||||||||||||||||||||||||||||||||||||||||||||||||||||
If you allow me a bit of pedantry, it's infinite "for all intents and purposes". It doesn't mean you can request civilizational levels of compute, but for a blog, a crud, an ETL and such, that is regular use cases with sensible scale you can absorb any elastic demand. Having said that, I agree with you. You have to request limit increases often and can't scale even in those instances if you don't plan ahead. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
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