Takeaway
- The logpai benchmark paper: evaluated 13 traditional log parsers on 16 datasets
- Datasets cover distributed systems, supercomputers, OS, mobile, server apps, standalone software
- Measured accuracy, robustness, and efficiency — the standard evaluation framework everyone cites
- Drain came out on top overall (good accuracy + fast + robust across datasets)
- This is the predecessor to Loghub-2.0 (ref 03) which expanded the benchmark
- logpai/logparser repo has reference implementations of all 13 parsers — useful for comparison
- Lesson from Huawei deployment: no single parser wins everywhere, dataset characteristics matter