Chaves, A. F. P., Gomes, F. A. A., Leal Rego, P., Trinta, F. A. M., Neuman de Souza, J., & Davesne, F. (2025, January 1). Data Fusion of Observability Signals to Detect Anomalies and Failures in Microservices. Presented at the. 2025. https://doi.org/10.48545/advance2025-fullpapers-3_2
ISO-690 (author-date, English)CHAVES, Adalberto F. P., GOMES, Francisco A. A., LEAL REGO, Paulo, TRINTA, Fernando A. M., NEUMAN DE SOUZA, José and DAVESNE, Frédéric, 2025. Data Fusion of Observability Signals to Detect Anomalies and Failures in Microservices. In: [online]. 2025. 1 January 2025. Available from: https://univ-evry.hal.science/hal-05308564 v1/document
Modern Language Association 9th editionChaves, A. F. P., F. A. A. Gomes, P. Leal Rego, F. A. M. Trinta, J. Neuman de Souza, and F. Davesne. Data Fusion of Observability Signals to Detect Anomalies and Failures in Microservices. 2025., 2025, https://doi.org/10.48545/advance2025-fullpapers-3_2.
Mohr Siebeck - Recht (Deutsch - Österreich)Emerald - Harvard
Chaves, A.F.P., Gomes, F.A.A., Leal Rego, P., Trinta, F.A.M., Neuman de Souza, J. and Davesne, F. (2025), “Data Fusion of Observability Signals to Detect Anomalies and Failures in Microservices”, in , Vol. , 2025., available at:https://doi.org/10.48545/advance2025-fullpapers-3_2.