Your non-linear problem of 90% utilization

Jason Cohen explains why operating teams at 90% utilization creates non-linear problems that dramatically reduce actual productivity and output, not just causing burnout. The core insight is that high utilization makes systems vulnerable to performance degradation when variability occurs—just like servers can't handle unexpected traffic spikes at 90% capacity, teams and individuals struggle when constantly operating at maximum effort. Context switching and interruptions become exponentially more costly, creating cascading failures where overload in one part of the system creates ripple effects that impact other components in a 'run-away chain reaction.' Engineering leaders will learn why maintaining buffer capacity is essential for resilience and why the ideal state involves operating in a 'safe zone' with occasional, time-bounded surges rather than sustained high-intensity utilization.