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 |
Files in This Item:
File | Description | Size | Format | |
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PFE_2024-Abdi-Boubeghel - KHOUMERI El Hadi.pdf | Projet d'ingeniorat | 12.23 MB | Adobe PDF | View/Open |
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