Data Fusion of Observability Signals to Detect Anomalies and Failures in Microservices
- DOI
- 10.48545/advance2025-fullpapers-3_2
- Published
- 2025
- Container
- Not recorded
- Publisher
- Informatique, BioInformatique, Systèmes Complexes
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.48545/advance2025-fullpapers-3_2,
title = {Data Fusion of Observability Signals to Detect Anomalies and Failures in Microservices},
author = {Chaves, Adalberto F. P. and Gomes, Francisco A. A. and Rego, Paulo A. L. and Trinta, Fernando A. M. and de Souza, José N.},
year = {2025},
doi = {10.48545/advance2025-fullpapers-3_2},
url = {https://doi.org/10.48545/advance2025-fullpapers-3_2}
}RIS
TY - JOUR TI - Data Fusion of Observability Signals to Detect Anomalies and Failures in Microservices AU - Chaves, Adalberto F. P. AU - Gomes, Francisco A. A. AU - Rego, Paulo A. L. AU - Trinta, Fernando A. M. AU - de Souza, José N. PY - 2025 DO - 10.48545/advance2025-fullpapers-3_2 UR - https://doi.org/10.48545/advance2025-fullpapers-3_2 ER -
APA
P., C. A. F., A., G. F. A., L., R. P. A., M., T. F. A., & N., D. S. J. (2025). Data Fusion of Observability Signals to Detect Anomalies and Failures in Microservices. https://doi.org/10.48545/advance2025-fullpapers-3_2
Source records
- datacite · retrieved 2026-09-25T06:04:43.728Z