Please use this identifier to cite or link to this item: http://dspace.ensta.edu.dz/jspui/handle/123456789/291
Title: Enhanced IT Infrastructure Monitoring with Anomaly Detection: Combining Prometheus, Grafana, and Machine Learning
Authors: ABDI, Aya Alia
BOUBEGHEL, Rima
KHOUMERI, EL Hadi (Directeur de thèse)
Keywords: Monitoring
IT Infrastructure
Prometheus
Grafana
Anomaly Detection
Issue Date: 2024
Abstract: Our 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.
Description: Projet de fin d’étude d'ingeniorat: Systèmes de Télécommunications et Réseaux:Alger: Ecole Nationale Supérieure des Technologie Avancées(ex ENST): 2024
URI: http://dspace.ensta.edu.dz/jspui/handle/123456789/291
Appears in Collections:ING- Systèmes de Télécommunications et Réseaux

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