Volume 1 - Issue 2, May - June 2026

Data centers have become key infrastructure assets for modern organisations in supporting business continuity, digital service delivery and protection of information assets. This article offers a comprehensive review of data center operation and maintenance (O&M) practices, combining technical specifications, safety procedures, and risk mitigation strategies that are crucial for the resilience of facilities. The analysis is based on five interrelated categories based on industry standards and engineering guidelines: fire protection systems (VESDA systems, gas flooding systems, pre-action sprinkler systems), physical security and access control systems, environmental monitoring by means of Building Management Systems, cooling optimisation (cold/hot aisle arrangements, computational fluid dynamics modelling) and systematic preventive maintenance procedures. The article also discusses the disaster recovery frameworks, safety assessment in the workplace and power system diagnostics. Results indicate that an integrated approach for successful data center O&M is needed considering the need for business continuity (e.g.continuous service delivery, data integrity) and asset protection needs recognising the trade-offs among detection sensitivity, choice of suppression agent and collateral damage risks. There is still knowledge gaps related to long-term performance data on clean agents, standardised benchmarking of O&M effectiveness, and quantitative relationships between maintenance frequency and system reliability metrics.

Wing Cheung TANG, "Symptom-Driven Medical Test and Disease Prediction Assistant" International Journal of Computer Science and Engineering Development, V1(2): Page(37-46) May-June 2026. ISSN: 3139-0862. www.ijcsed.com. Published by Scientific and Academic Research Publishing.