Developing Integrated Smartphones Notification of Server Resource Monitoring System Using Zabbix, Webhook, and Telegram
Abstract
Server monitoring activities are important to ensure the availability of resources used for the execution of its internal processes. Generally, Administrators monitor the use of server resources through a computer using a browser. The problem with monitoring through a computer is less flexible and slow for checking notifications about the state of problem server resources in real-time anytime and anywhere using smartphones. This study aims to develop notification integration on smartphones from a server resource monitoring system using Zabbix Webhook and Telegram. The research method used is the Cisco PPDIOO Lifecycle Approach to Network Design and Implementation. As a case study, it is located at the Center for Empowerment of Informatics and Nuclear Strategic Area, the National Nuclear Energy Agency. The results of the study are notifications on smartphones via the Telegram bot account indicating a problem with resource usage. The results of this study have been used by server Administrators. The server Administrators have provided information about the benefits of this system, for flexibility, speed of getting information in resource usage, identifying, and resolving problems before there are complaints so that the quality of service is getting better.
Keywords
References
[1] S. E. Ahmady and O. Uchida, “Telegram-based chatbot application for foreign people in Japan to share disaster-related information in real-time,” 2020 5th Int. Conf. Comput. Commun. Syst. ICCCS 2020, pp. 177–181, 2020.
[2] M. Muslih, Somantri, D. Supardi, E. Multipi, Y. M. Nyaman, A. Rismawan, Gunawansyah, “Developing smart workspace based iot with artificial intelligence using telegram chatbot,” Proc. - 2018 4th Int. Conf. Comput. Eng. Des. ICCED 2018, pp. 230–234, 2019.
[3] S. Lee, J. Lee, W. Lee, S. Lee, S. Kim, and E. T. Kim, “Design of Integrated Messenger Anti-virus System using Chatbot Service,” Int. Conf. ICT Converg., vol. 2020-Octob, pp. 1613–1615, 2020.
[4] K. B. Sandeep, M. Raghavendra, and K. J. Shetty, “Performance analyzer: An approach for performance analysis of enterprise servers,” 2016 IEEE Int. Conf. Recent Trends Electron. Inf. Commun. Technol. RTEICT 2016 - Proc., pp. 480–484, 2017.
[5] P. Garraghan, P. Townend, and J. Xu, “An analysis of the server characteristics and resource utilization in Google cloud,” Proc. IEEE Int. Conf. Cloud Eng. IC2E 2013, pp. 124–131, 2013.
[6] A. Datt, A. Goel, and S. C. Gupta, “Analysis of Infrastructure Monitoring Requirements for OpenStack Nova,” Procedia Comput. Sci., vol. 54, pp. 127–136, 2015.
[7] A. Iqbal, C. Pattinson, and A. L. Kor, “Performance monitoring of Virtual Machines (VMs) of type i and II hypervisors with SNMPv3,” 2015 World Congr. Sustain. Technol. WCST 2015, pp. 98–99, 2016.
[8] Z. Jiang, “A Linux Server Operating System’s Performance Comparison Using Lmbench,” 2016 Int. Conf. Netw. Inf. Syst. Comput., pp. 160–164, 2017.
[9] L. C. Mota, E. D. Moreno, A. L. Ribeiro, and R. J. P. B. Salgueiro, “A comparative analysis of network management protocols in IoT applications,” J. Comput. Sci., vol. 14, no. 9, pp. 1238–1246, 2018.
[10] O. Marik and S. Zitta, “Comparative analysis of monitoring system for data networks,” Int. Conf. Multimed. Comput. Syst. -Proceedings, pp. 563–568, 2014.
[11] L. Macura and M. Voznak, “Multi-Criteria Analysis and Prediction of Network Incidents Using Monitoring System,” J. Adv. Eng. Comput., vol. 1, no. 1, pp. 29, 2017.
[12] C. M. Petruti, B. A. Puiu, I. A. Ivanciu, and V. Dobrota, “Automatic Management Solution in Cloud Using NtopNG and Zabbix,” Proc. - 17th RoEduNet IEEE Int. Conf. Netw. Educ. Res. RoEduNet 2018, pp. 1–6, 2018.
[13] A. Mardiyono, W. Sholihah, and F. Hakim, “Mobile-based Network Monitoring System Using Zabbix and Telegram,” 2020 3rd Int. Conf. Comput. Informatics Eng. IC2IE 2020, pp. 473–477, 2020.
[14] D. Arnaldy and T. S. Hati, “Performance Analysis of Reverse Proxy and Web Application Firewall with Telegram Bot as Attack Notification on Web Server,” 2020 3rd Int. Conf. Comput. Informatics Eng. IC2IE 2020, pp. 455–459, 2020.
[15] S. Sulasno and R. Saleh, “Desain dan Implementasi Sistem Monitoring Sumber Daya Server Menggunakan Zabbix 4.0,” JUITA J. Inform., vol. 8, no. 2, pp. 187, 2020.
[16] Cisco Press, “Cisco ’ s PPDIOO Network Cycle,” 2011. [Online]. Available: https://www.ciscopress.com/articles/article.asp?p=1608131&seqNum=3. [Accessed: 15-Feb-2021].
[17] S. P. Deriyanto and H. A. Santoso, “Development of Bot for Microservices Server Monitoring Using Life Cycle Approach to Network Design Method,” JUITA J. Inform., vol. 8, no. 2, pp. 141, 2020.
[18] L. Hernandez, G. Jimenez, A. Pranolo, and C. U. Rios, “Comparative Performance Analysis Between Software-Defined Networks and Conventional IP Networks,” Proceeding - 2019 5th Int. Conf. Sci. Inf. Technol. Embrac. Ind. 4.0 Towar. Innov. Cyber Phys. Syst. ICSITech 2019, pp. 235–240, 2019.
[19] B. Mayer and R. Weinreich, “A dashboard for microservice monitoring and management,” Proc. - 2017 IEEE Int. Conf. Softw. Archit. Work. ICSAW 2017 Side Track Proc., vol. 6, pp. 66–69, 2017.
[20] J. Renita and N. E. Elizabeth, “Network’s server monitoring and analysis using Nagios,” Proc. 2017 Int. Conf. Wirel. Commun. Signal Process. Networking, WiSPNET 2017, pp. 1904–1909, 2018.
[21] P. Jain, Y. Munjal, J. Gera, and P. Gupta, “Performance Analysis of Various Server Hosting Techniques,” Procedia Comput. Sci., vol. 173, pp. 70–77, 2020.
[22] K. Rafiullah, S. Ullah, “Design and implementation of an automated network monitoring and reporting back system,” Journal of Industrial Information Integration, vol. 9, pp. 24–34, 2018.
DOI: 10.30595/juita.v9i2.10411
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 4.0 International License.
ISSN: 2579-8901
- Visitor Stats
View JUITA Stats