A partial derivative measures how much a function changes when you tweak just one of its inputs, while keeping all the other inputs constant.
Partial derivatives give you a framework to understand how different variables affect the performance of a system.
By observing how performance metrics change when adjusting different variables, you can estimate the partial derivatives and prioritize optimizations accordingly.
Partial derivatives provide a structured way for DevOps engineers to work smarter by understanding system sensitivity and focusing efforts where they matter most.