Do others honestly believe that corporations and developers lack metrics on this type of stuffs?

They had pre-order data, they have had past server load issues to corroborate said data against. It doth not require clairvoyance to make projections from datasets. This is.. this is umm, common practice especially in software development and server administration. It is college level basic science. Collect data > examine data > form hypothesis > test hypothesis > generate working theory > test working theory in simulated environment > apply learned outcome and all this.

Welp. This lala over here kinda predicted this would occur many months ago and was told I overreact yet here we sit re-launching our clients over and over and over.

I do have baseline expectations for multi billion dollar corporations and their dev teams. These expectations include understanding how to queue requests to a main database so overloading does not happen. You do not drop the initial request for login info when server is overloaded you place login requests into queue and process them when resources are available. This is also kinda basic stuffs here.. I have not worked on servers or coded in much time.