Few-Shot Cross-System Anomaly Trace Classification for Microservice-based systems
Microservice-based systems (MSS) may experience failures in various fault categories due
to their complex and dynamic nature. To effectively handle failures, AIOps tools utilize trace …
to their complex and dynamic nature. To effectively handle failures, AIOps tools utilize trace …
Token Interdependency Parsing (Tipping)--Fast and Accurate Log Parsing
In the last decade, an impressive increase in software adaptions has led to a surge in log
data production, making manual log analysis impractical and establishing the necessity for …
data production, making manual log analysis impractical and establishing the necessity for …
How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters
Deviations from expected behavior during runtime, known as anomalies, have become more
common due to the systems' complexity, especially for microservices. Consequently …
common due to the systems' complexity, especially for microservices. Consequently …
LLM-based event log analysis techniques: A survey
S Akhtar, S Khan, S Parkinson - arXiv preprint arXiv:2502.00677, 2025 - arxiv.org
Event log analysis is an important task that security professionals undertake. Event logs
record key information on activities that occur on computing devices, and due to the …
record key information on activities that occur on computing devices, and due to the …
Speed and Performance of Parserless and Unsupervised Anomaly Detection Methods on Software Logs
J Nyyssölä, M Mäntylä - 2024 IEEE 24th International …, 2024 - ieeexplore.ieee.org
Software log analysis can be laborious and time consuming. Time and labeled data are
usually lacking in industrial settings. This paper studies unsupervised and time efficient …
usually lacking in industrial settings. This paper studies unsupervised and time efficient …