A practical dive into performance engineering—how estimation, the latency hierarchy, and smart data structures turn frustrating delays into instant responses. Guided by Jeff Dean and Sanjay Ghemawat's performance hints, we unpack moving from O(n log n) to O(n), hoisting temporaries, and fast paths for the common case. We also glimpse real-world wins—like a 7.5% CPU reduction and a 21.6% improvement in a massive build—and outline how to identify and optimize your own critical 3%. 

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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