Integration of Detailed Performance Features in Building a Resource Monitoring Website Server for Pt Neural Technologies Indonesia
Abstract
PT Neural Technologies Indonesia provides IT solutions for various industries, including telecommunications, healthcare, and mining. Efficiency server management is critical for service services, so this project aims to build an integrated integrated server monitoring dashboard system. This system collects data from multiple servers, stores it in in InfluxDB, and visualizes it on a dashboard. The project methodology includes a literature study, integration of Proxmox hypervisor with InfluxDB, implementation of data processing, and testing and evaluation to ensure system functionality and performance. Project results include server data processing, integration with databases and agents, and features such as time-range filters, update interval, CPU utilization summary, and summary of the Top 5 High Hosts. This system improves the efficiency of monitoring and management of servers, as well as improving security and stability of the company's IT infrastructure.
Keywords: server monitoring, Integration, data processing
References
"PENGEMBANGAN APLIKASI MONITORING SERVER BERBASIS MOBILE WEB DENGAN SISTEM
NOTIFIKASI EMAIL (Studi Kasus: Pusat teknologi Informasi dan Pangkalan data (PUSTIPANDA) UIN Syarif Hidayatullah Jakarta".
I. M and Yulvianda, "Jurnal Informatika Dan Rekayasa Komputer (JAKAKOM) Desain dan Implementasi Sistem Monitoring Sumber Daya
Server Menggunakan Zabbix dan Grafana,”,"
Somya Ramos, "Aplikasi Manajemen Proyek
Berbasis Framework CodeIgniter dan Boostrap di PT. Pura Barutama," Jurnal Informatika: jurnal Pengembangan IT (JPIT), vol. 03, pp. -150, 2018.
D. P. T and A. W. H, "SISTEM MONITORING JARINGAN PADA SERVER LINUX DENGAN MENGGUNAKAN SMS GATEWAY".
A. A, "PERANCANGAN IMPLEMENTASI DAN ANALISIS KINERJA VIRTUALISASI
SERVER MENGGUNAKAN PROXMOX, VMWARE, ESX, DAN OPENTACK".
R. S. A. M, Z. A.-F. M, T. M, A. G and E. M, "PENGGUNAAN PYTHON SEBAGAI
BAHASA PEMROGRAMAN UNTUK MACHINE LEARNING DAN DEEP
LEARNING," 2023.
S. R, "PERBANDINGAN INFLUXDB DAN PROMETHEUS UNTUK SISTEM NETWORK MONITORING".
P. D, "SQLite, dalam mobile Forensic," The File format Handbook: Common File Formarts and File systems used In Mobile Devices
Springers International Publishing , pp. 129-55, S. D and f. A. R, "ANALISIS PERBANDINGAN PERFORMA WEB SERVICE REST MENGGUNAKAN
FRAMEWORK LARAVEL, DJANGO DAN RUBY ON RAILS UNTUK AKSES DATA DENGAN APLIKASI MOBILE (Studi kasus: Portal E-Kampus STT Indonesia
Tanjungpinang)," Bangkit Indonesia, vol. 2, R. d. R, "Overhead Study of Telegraf as a realtime Monitoring agent," dalam JCSSE 2020 - th International Joint Conference On Computer Science and Software Engineering, Institute of Electrical and Electronics Engineering inc, pp. 42-26, Nov 2020.
Downloads
Published
Versions
- 2024-08-01 (2)
- 2024-08-01 (1)



