Although simplified mathematical models assume idealized traffic patterns, real-world load-balanced systems must account for correlated bursts that require costly over-provisioning to ensure peak reliability. To avoid reliance on expensive cloud auto-scaling, engineers recommend adopting asynchronous architectures or intentionally shedding non-essential features during traffic spikes. The discussion also highlights the organizational dangers of management pushing for near-perfect server utilization, which mathematically guarantees system failure and degraded user experiences.