Key Takeaways from Developing a High‑Performance Profiler in Rust

The author recounts building a profiler focused on Rust code. Initial goals included low overhead and accurate timing. Specific Rust crates were selected to handle sampling. Instrumentation was designed to minimize impact on target programs. Benchmarking revealed bottlenecks in data aggregation. Optimizations involved lock‑free structures and cache‑friendly layouts. The final tool achieves high resolution with modest CPU usage. Lessons emphasize careful profiling of the profiler itself and iterative tuning.