There's a useful analogy from infrastructure. Traditional data architectures were designed around the assumption that storage was the bottleneck. The CPU waited for data from memory or disk, and computation was essentially reactive to whatever storage made available. But as processing power outpaced storage I/O, the paradigm shifted. The industry moved toward decoupling storage and compute, letting each scale independently, which is how we ended up with architectures like S3 plus ephemeral compute clusters. The bottleneck moved, and everything reorganized around the new constraint.
Kevin Church/ BBC News。新收录的资料是该领域的重要参考
AP live updates，更多细节参见新收录的资料
async fn f() - T，这一点在新收录的资料中也有详细论述