Performance Engineering at Scale

When applications are deployed to hundreds of millions of devices, sub-optimal execution flows quickly scale into global performance concerns. High-scale optimization is not about minor adjustments; it is about establishing system tracing and profiling frameworks.

Diagnosing with Perfetto

Traditional logging modifies runtime execution speeds, masking true performance bottlenecks (an effect called the Observer Effect). Instead, we utilize system traces like Perfetto.

By leveraging system tracers (Perfetto), reducing rendering cycles with lazy lambda evaluations, and tracking memory leaks, we build systems that remain stable and responsive at scale.