Model Utilisasi Dan Visualisasi Resource Menggunakan Prometheus Dan Grafana Untuk Pengelolaan Server Di Universitas Udayana
Abstract
Monitoring utilization server which refers to the use of server resources such as CPU, memory and storage is important in managing Information Technology (IT) infrastructure by network administrators in an effort to help maximize server performance, identify performance constraints and make decisions to increase efficiency servers. Monitoring is done by checking resource usage one by one on the server to find out which server resources are running. However, the more servers there are, the more time it takes to monitor so that it can interfere with the performance of network administrators. To make it easier for network administrators to monitor, researchers created a resource utilization and visualization model using Prometheus and Graphana which can display server resources without having to check directly on the server you want to monitor. The final result of the research produced a model that can visualize server resources in a dashboard without the need to check the servers one by one so that it helps network administrators work to monitor server resource usage.
Downloads
References
[2] D. Rahman, H. Amnur, and I. Rahmayuni, “Monitoring Server dengan Prometheus dan Grafana serta Notifikasi Telegram”, jitsi, vol. 1, no. 4, pp. 133 - 138, Dec. 2020.
[3] Ramadoni, M. Z. . Amirudin, Rifki Fahmi, Ema Utami, and M. S. . Mustafa, “Evaluasi Penggunaan Prometheus dan Grafana Untuk Monitoring Database Mongodb”, JIP, vol. 7, no. 2, pp. 43–50, Feb. 2021.
[4] Akbar, M, “Perancangan Dan Implementasi Dashboard Monitoring Hadoop Menggunakan Grafana,” Doctoral Dissertation, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Jakarta, Indonesia, Mei. 2023
[5] Dwiyatno, S., Rachmat, E., Sari, A. P., & Gustiawan, O., “ Implementasi Virtualisasi Server Berbasis Docker Container”, PROSISKO, vol 7, no. 2, pp 165-175, Sept 2020
[6] Faisal, M. (2019). Network Monitoring System Analysis Using Opennms To Analyze The Irregularities Of The Internet Network.
[7] INDRA PARMANA, Ignatius I Wayan Rexci; PARTHA, Cok Gede Indra; UTAMA, Ngakan Putu Satriya. Rancang Bangun Sistem Monitoring Arus Beban pada Gardu Distribusi Menggunakan Short Message Service. Majalah Ilmiah Teknologi Elektro, [S.l.], v. 17, n. 1, p. 17-24, apr. 2017, doi: https://doi.org/10.24843/MITE.2018.v17i01.P03.
[8] Ramayanti, D. (2015). Analisis Performansi Server Sistem Informasi Akademik Universitas Mercu Buana Dengan Open Queueing Network. Jurnal Ilmiah Fifo, 7(2), 244-258.
[9] Sabharwal, N., Pandey, P., Sabharwal, N., & Pandey, P. (2020). Working With Prometheus Query Language (Promql). Monitoring Microservices And Containerized Applications: Deployment, Configuration, And Best Practices For Prometheus And Alert Manager, 141-167.
[10] N. Balashov, I. Kuprikov, N. Kutovskiy, A. Makhalkin, Ye. Mazhitova, And R. Semenov, “QUANTITATIVE AND QUALITATIVE CHANGES IN THE JINR CLOUD INFRASTRUCTURE,” In 9th International Conference “Distributed Computing And Grid Technologies In Science And Education,” Crossref, Dec. 2021, Pp. 275–279. Doi: 10.54546/MLIT.2021.79.28.001.
[11] N. Chan, “A Resource Utilization Analytics Platform Using Grafana And Telegraf For The Savio Supercluster,” In Proceedings Of The Practice And Experience In Advanced Research Computing On Rise Of The Machines (Learning), Chicago IL USA: ACM, Jul. 2019, Pp. 1–6. Doi: 10.1145/3332186.3333053.
[12] A. Rashid And A. Chaturvedi, “Cloud Computing Characteristics And Services A Brief Review,” Ijcse, Vol. 7, No. 2, Pp. 421–426, Feb. 2019, Doi: 10.26438/Ijcse/V7i2.421426.
[13] ]E. Casalicchio And V. Perciballi, “Measuring Docker Performance: What A Mess!!!,” In Proceedings Of The 8th ACM/SPEC On International Conference On Performance Engineering Companion, L’Aquila Italy: ACM, Apr. 2017, Pp. 11–16. Doi: 10.1145/3053600.3053605.
[14] ANAM, K. (2021). Implementasi Sistem Monitoring Resource Server Berbasis Prometheus Dan Grafana Dengan Notifikasi Telegram (Doctoral Dissertation, Universitas Gadjah Mada).
[15] Ariza-Porras, C., Kuznetsov, V., & Legger, F. (2021). The CMS Monitoring Infrastructure And Applications. Computing And Software For Big Science, 5, 1-12.
[16] Tachibana, T., Sawada, K., Fujii, H., Maruyama, R., Yamada, T., Fujii, M., & Fukuda, T. (2022). Open Multi-Access Network Platform With Dynamic Task Offloading And Intelligent Resource Monitoring. IEEE Communications Magazine, 60(8), 52-58.
[17] Buchanan, S., Rangama, J., Bellavance, N., Buchanan, S., Rangama, J., & Bellavance, N. (2020). Deploying And Using Rancher With Azure Kubernetes Service. Introducing Azure Kubernetes Service: A Practical Guide To Container Orchestration, 79-99.
[18] Raharja, D. R. B., Periyadi, P., & Sularsa, A. (2015). Implementasi Monitoring Jaringan Menggunakan Cacti Dan Web Authentication Menggunakan Kerberos Pada Man 1 Bojonegoro. Eproceedings Of Applied Science, 1(3).
[19] BERNADUS, I Nyoman; GUNANTARA, Nyoman; SAPUTRA, Komang Oka. Analisis Kinerja Jaringan Internet dengan Metode Class Based Queueing di Universitas Dhyana Pura. Majalah Ilmiah Teknologi Elektro, [S.l.], v. 18, n. 1, p. 133-140, may 2019. ISSN 2503-2372, doi: https://doi.org/10.24843/MITE.2019.v18i01.P20.
[20] Sabharwal, N., Pandey, P., Sabharwal, N., & Pandey, P. (2020). GKE Monitoring Using Prometheus. Pro Google Kubernetes Engine: Network, Security, Monitoring, And Automation Configuration, 299-340.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License