In high-throughput Python services processing 50,000+ requests per second, logging overhead can account for up to 18% of total CPU usage—a cost that adds $12,000+ annually to cloud spend for mid-sized teams. This benchmark pits Loguru 0.7.0 against Python 3.12’s standard logging module across 15 million log lines to find which delivers better performance without sacrificing debuggability. 🔴 Live Ecosystem Stats ⭐ python/cpython — 72,548 stars, 34,532 forks Data pulled live from GitHub and npm. 📡 Hacker News Top Stories Right Now LLMs consistently pick resumes they generate over ones by humans or other models (265 points) Meta's Pyrefly sabotages competing Python extensions without telling you (29 points) How fast is a macOS VM, and how small could it be?…