For many people, performance theory is algorithmic complexity; However, it is widely known that in the real world performance is often dominated by system structure - with the common example of lists outperforming hashmaps in small scale - leaving us without good models to guide us.

This talk presents a systemic performance model which aims to explain real world performance. This model empowers developers to design, build and debug system performance at various scales and use cases.