HybridRCA: Lightweight Critical-Path-Aware Hybrid Tracing for Root-Cause Analysis in Production Microservices
[Context] Distributed cloud-native systems operated by our industrial partners, including Ericsson and Ciena, generate millions of trace spans daily. Capturing and analyzing this data at full granularity is infeasible due to excessive storage and computational overhead. [Objective] We aim to enable fast and accurate Root Cause Analysis (RCA) with minimal trace volume and system overhead, quickly pinpointing the service causing a latency spike, making it practical for large-scale production environments. [Method] We present HybridRCA, a critical-path-aware RCA pipeline that (1) extracts the critical path of each request, (2) applies a PageRank-weighted spectrum analysis to identify suspicious spans, and (3) collects system metrics only for targeted spans. [Results] On three microservice benchmarks (HotROD, TrainTicket, OnlineBoutique), HybridRCA improves recall by 5.7% and precision by up to 7%, while analyzing 21% fewer spans and reducing storage usage by 99%. [Significance] HybridRCA addresses key observability challenges faced by our industry partners, enabling scalable, low-overhead RCA in real-world distributed systems.
Wed 10 SepDisplayed time zone: Auckland, Wellington change
15:30 - 17:00 | Session 5 - DebuggingResearch Papers Track / Industry Track at Case Room 3 260-055 Chair(s): Chanchal K. Roy University of Saskatchewan | ||
15:30 15m | The Impact of Fine-tuning Large Language Models on Automated Program Repair Research Papers Track Roman Machacek University of Bern, Anastasiia Grishina Simula Research Laboratory, Max Hort Simula Research Laboratory, Leon Moonen Simula Research Laboratory Pre-print Media Attached | ||
15:45 15m | Bridging Solidity Evolution Gaps: An LLM-Enhanced Approach for Smart Contract Compilation Error Resolution Research Papers Track Likai Ye Zhejiang University, Mengliang Li Zhejiang University, Dehai Zhao CSIRO's Data61, Jiamou Sun CSIRO's Data61, Xiaoxue Ren Zhejiang University Pre-print | ||
16:00 15m | Code Property Graph Meets Typestate: A Scalable Framework to Behavioral Bug Detection Research Papers Track Xingjing Deng Beihang University, Zhengyao Liu Beihang University, Zhong Xitong Beihang University, shuo hong Beihang University, Yixin Yang , Xiang Gao Beihang University, Yan Xuhui Huawei, Hailong Sun Beihang University | ||
16:15 15m | Syntest-ACR: Automated Crash Reproduction for JavaScript Research Papers Track Philip Oliver Victoria University of Wellington, Jens Dietrich Victoria University of Wellington, Craig Anslow Victoria University of Wellington, Michael Homer Victoria University of Wellington File Attached | ||
16:30 15m | TSGuard: Detecting Logic Bugs in Time Series Management Systems via Time Series Algebra Research Papers Track Lingwei Kuang Nanjing University of Aeronautics and Astronautics, Liang Liu Nanjing University of Aeronautics and Astronautics, Wenjing Wang Nanjing University of Aeronautics and Astronautics, Ning Cao Nanjing University of Aeronautics and Astronautics, Shijie Li Nanjing University of Aeronautics and Astronautics, Fan Liu Nanjing University of Aeronautics and Astronautics, Haolong Chen Nanjing University of Aeronautics and Astronautics | ||
16:45 15m | HybridRCA: Lightweight Critical-Path-Aware Hybrid Tracing for Root-Cause Analysis in Production Microservices Industry Track Maryam Ekhlasi Ciena, Arnaud Fiorini Polytechnique Montreal, Naser Ezzati Jivan , Michel Dagenais Polytechnique Montreal, Maxime Lamothe Polytechnique Montreal | ||