Not to detract from the very intelligent and reasoned posting, but what tiny percentage of people honestly still use fat-ass RDBMS as their primary datastore and would be better off performance tuning it at the kernel IO level than actually analyzing their load and subsequently sharding or migrating their data structures to less behemoth-like datastores? Yes , RDBMS are easy to hire developers and DBAs for, are well…
Consider an inventory system for a big box retailer. I can't think of anything better than a fat-ass RDBMS as the primary data store. Sharding sounds like a horrific idea. There are myriad workloads like this.
Personally, I've seen pgsql handle terabytes of data just fine and it wasn't really noteworthy or a source of problems to even bring up considering something else. YMMV but it's a good idea to use logic and reason to dictate architecture instead of following the shiny thing or hubris.