Performance @Scale 2019 recap

What this post added

This post details advancements in performance engineering for large-scale systems, including the Facebook app's journey with performance metrics, AI workload performance analysis on accelerated platforms, scaling ML models on TPUs and GPUs, and optimizing perceived performance through behavioral analytics. It also highlights open-source browser contributions for web app performance, the FlameScope tool for profiler analysis, real user monitoring for native apps, and scalable approaches to generating iOS binary order files for startup performance optimization.