Agreed. As a software dev, a huge portion of my job has been fixing exception handling and adding centralized error handling to figure out what bugs my users are experiencing. Many devs I worked with seemed to only care about the happy path.

this is not an “AI” data center

I was a bit more high-level in the supply chain planning side (more on the long-term supply planning than rack planning), but AWS definitely has different rack types including AI rack types with dense GPU hardware setups. Are they slicing the buildings by rack type or is it heterogeneous with some AI racks + compute racks?