The article discusses the performance complexity curve, a concept derived from Aleksey Shipilev's performance work phase diagram. It explains how performance and complexity shift throughout performance work. Initially, systems may exhibit low performance and high complexity, often resulting from accruing technical debt to meet deadlines. The article highlights three phases: initial low-hanging fruit gains, subsequent tuning, and competitive advantage, where increased complexity yields diminishing returns. The framework helps understand when to invest in performance improvements versus when to minimize complexity.
The performance complexity curve illustrates how performance and complexity change as we engage in performance work, often starting with low performance and high complexity.
Initially, significant performance gains can be achieved through simplifying changes, but as optimization continues, complexity can lead to diminishing returns.
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