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Root cause analysis (RCA) in Micro-services architecture (MSA) with escalating complexity encounters complex challenges in maintaining system stability and efficiency due to fault propagation and circular dependencies among nodes.
Root cause detection in a service-oriented architecture
Myunghwan Kim, Roshan Sumbaly, and Sam Shah. 2013 · 2013
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Scalability bugs: When 100-node testing is not enough
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Fault diagnosis of wind turbine structures using decision tree learning algorithms with big data
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Ahmed Alquraan, Hatem Takruri, Mohammed Alfatafta, and Samer Al-Kiswany. 2018 · 2018
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Yu Gao, Wensheng Dou, Feng Qin, Chushu Gao, Dong Wang, Jun Wei, Ruirui Huang, Li Zhou, and Yongming Wu. 2018 · 2018
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Microservices: The journey so far and challenges ahead
Pooyan Jamshidi, Claus Pahl, Nabor C Mendonça, James Lewis, and Stefan Tilkov. 2018 · 2018
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Microscope: Pinpoint performance issues with causal graphs in micro-service environments
JinJin Lin, Pengfei Chen, and Zibin Zheng. 2018 · 2018
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Fault analysis and debugging of microservice systems: Industrial survey, benchmark system, and empirical study
Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Wenhai Li, and Dan Ding. 2018 · 2018
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Understanding exception-related bugs in large-scale cloud systems
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What bugs cause production cloud incidents?
Haopeng Liu, Shan Lu, Madan Musuvathi, and Suman Nath. 2019 · 2019
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Latent error prediction and fault localization for microservice applications by learning from system trace logs
Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Dewei Liu, Qilin Xiang, and Chuan He. 2019 · 2019
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Scaling laws for neural language models
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Unsupervised detection of microservice trace anomalies through service-level deep bayesian networks
Ping Liu, Haowen Xu, Qianyu Ouyang, Rui Jiao, Zhekang Chen, Shenglin Zhang, Jiahai Yang, Linlin Mo, Jice Zeng, Wenman Xue, and Dan Pei. 2020 · 2020
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Chang Lou, Peng Huang, and Scott Smith. 2020 · 2020
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Meng Ma, Jingmin Xu, Yuan Wang, Pengfei Chen, Zonghua Zhang, and Ping Wang. 2020a · 2020
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https://github.com/chaosblade-io/chaosblade
alibaba. 2021 · 2021
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Logbert: Log anomaly detection via bert
Haixuan Guo, Shuhan Yuan, and Xintao Wu. 2021a · 2021
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Logassist: Assisting log analysis through log summarization
Empowering cloud rca with augmented large language models
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https://github.com/langchain-ai/langchain
langchain ai. 2023 · 2023
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Opseval: A comprehensive task-oriented aiops benchmark for large language models
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OpenAI. 2023 · 2023
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Steven Locke, Heng Li, Tse-Hsun Peter Chen, Weiyi Shang, and Wei Liu. 2021 · 2021
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How to fight production incidents? an empirical study on a large-scale cloud service
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https://www.blockchain.com/
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https://en.wikipedia.org/wiki/blockchain
wiki. 2023 · 2023
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React: Synergizing reasoning and acting in language models
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D-bot: Database diagnosis system using large language models
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Logformer: A pre-train and tuning pipeline for log anomaly detection
Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, and Qi Tian. 2024 · 2024
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