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Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
Logs are imperative in the maintenance of online service systems, which often encompass
important information for effective failure mitigation. While existing anomaly detection …
important information for effective failure mitigation. While existing anomaly detection …
The Current Challenges of Software Engineering in the Era of Large Language Models
With the advent of large language models (LLMs) in the artificial intelligence (AI) area, the
field of software engineering (SE) has also witnessed a paradigm shift. These models, by …
field of software engineering (SE) has also witnessed a paradigm shift. These models, by …
AI Assistants for Incident Lifecycle in a Microservice Environment: A Systematic Literature Review
DZ Zhou, M Fokaefs - arxiv preprint arxiv:2410.04334, 2024 - arxiv.org
Incidents in microservice environments can be costly and challenging to recover from due to
their complexity and distributed nature. Recent advancements in artificial intelligence (AI) …
their complexity and distributed nature. Recent advancements in artificial intelligence (AI) …
Multi-source KPIs' root cause localization in online service systems
H **a, J Xu, B **ao, H Jia, C Gao… - … on Networking and …, 2024 - ieeexplore.ieee.org
Root cause localization is challenging because of the large number of monitoring metrics
and the many types of faults in an online service system extended by a microservices …
and the many types of faults in an online service system extended by a microservices …