1. Repository / Ecole Nationale Supérieure des Technologies Avancées
  2. Travaux Universitaires
  3. Projet de fin d'étude d'Ingéniorat
  4. ING- Systèmes de Télécommunications et Réseaux
Please use this identifier to cite or link to this item: http://dspace.ensta.edu.dz/jspui/handle/123456789/291
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dc.contributor.authorABDI, Aya Alia-
dc.contributor.authorBOUBEGHEL, Rima-
dc.contributor.authorKHOUMERI, EL Hadi (Directeur de thèse)-
dc.date.accessioned2025-03-09T12:09:07Z-
dc.date.available2025-03-09T12:09:07Z-
dc.date.issued2024-
dc.identifier.urihttp://dspace.ensta.edu.dz/jspui/handle/123456789/291-
dc.descriptionProjet de fin d’étude d'ingeniorat: Systèmes de Télécommunications et Réseaux:Alger: Ecole Nationale Supérieure des Technologie Avancées(ex ENST): 2024en_US
dc.description.abstractOur project aims to enhance real-time monitoring using advanced technologies. We design, develop, and implement a monitoring system that employs Prometheus for data collection and Grafana for visualization. Additionally, we integrate machine learning to detect anomalies in metrics. This system facilitates IT infrastructure monitoring and automatically identifies unusual patterns.en_US
dc.language.isoenen_US
dc.subjectMonitoringen_US
dc.subjectIT Infrastructureen_US
dc.subjectPrometheusen_US
dc.subjectGrafanaen_US
dc.subjectAnomaly Detectionen_US
dc.titleEnhanced IT Infrastructure Monitoring with Anomaly Detection: Combining Prometheus, Grafana, and Machine Learningen_US
dc.typeThesisen_US
Appears in Collections:ING- Systèmes de Télécommunications et Réseaux

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