Latency Profiling in Python: From Code Bottlenecks to Observability

The debate around latency profiling in Python heats up as commenters weigh in on the feasibility of full function tracing versus sampling profilers. Veserv sparks the discussion by suggesting that efficient instrumentation can enable full function traces in production with minimal overhead, prompting hansvm to counter that the overhead can be substantial for certain programs. As the conversation unfolds, it becomes clear that the choice of profiling tool and language can significantly impact performance, with some arguing that Python is ill-suited for low-latency applications like algorithmic trading, while others point out that optimized Python can hold its own against other languages. The thread also raises eyebrows about the legitimacy of the original blog post, with some commenters suspecting it was AI-generated.

Snapshot generated from the HN discussion