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JAIT 2025 Vol.16(11): 1595-1603
doi: 10.12720/jait.16.11.1595-1603

Performance Peaks: Monitoring and Optimizing Systems for Efficiency

William P. Rey 1,*, Edward Anthony G. Cudilla 1, and Reginald A. Verdida 2
1. School of IT, Mapua University, Makati, Philippines
2. Department of Mathematics, Mapua University, Manila, Philippines
Email: wprey@mapua.edu.ph (W.P.R.); eagcudilla@mymail.mapua.edu.ph (E.A.G.C.); raverdida@mapua.edu.ph (R.A.V.)
*Corresponding author

Manuscript received July 28, 2025; revised August 17, 2025; accepted August 20, 2025; published November 14, 2025.

Abstract—Ensuring operations run smoothly and systems are reliable is essential in the fast-paced and vital energy sector, but it can be hard to do because of limited resources. This case study looks at how an open-source monitoring solution called Zabbix was used in a multi-plant energy company with limited Information Technology (IT) resources and infrastructure spread out geographically. Implementing Zabbix is a deliberate move away from traditional proprietary systems and toward a cheaper and more flexible option, showing how well it can be used in various business settings. The company significantly improved essential system monitoring and uptime tracking, even though they couldn’t use all of Zabbix’s optimization tools because they needed more staff. The study stresses the importance of using even the most basic tracking methods to keep performance stable and operations running smoothly in a complex energy production setting. Even though there were problems, like integrating Zabbix with old systems and balancing tracking duties with other IT tasks, it made it easier for the company to find and fix big problems in many places. The results clarify the pros and cons of using open-source tracking tools in areas with few resources. These give companies with similar issues important information when running effective IT operations across geographically dispersed infrastructures.
 
Keywords—real-time systems management, infrastructure reliability, open-source monitoring tools, it system optimization, network performance, scalability, operational efficiency, proactive management, cost efficiency, systems customization

Cite: William P. Rey, Edward Anthony G. Cudilla, and Reginald A. Verdida, "Performance Peaks: Monitoring and Optimizing Systems for Efficiency," Journal of Advances in Information Technology, Vol. 16, No. 11, pp. 1595-1603, 2025. doi: 10.12720/jait.16.11.1595-1603

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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