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Author
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Bako, Alexander
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Title
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Implementing Scheduled Synthetic Monitoring for Near Real-Time Cloud Service Availability Tracking: A Case Study of Central African Building Society.
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Abstract
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In an era where cloud infrastructure underpins critical banking operations, ensuring continuous service availability is paramount, particularly for financial institutions operating in dynamic and high-risk environments. This study examines the implementation of scheduled synthetic monitoring as a contemporary, proactive approach to tracking cloud service availability, utilizing the Central African Building Society (CABS) as a case study. CABS currently relies on manual monitoring techniques such as SSH logins, ping, and grep commands, which are reactive, time-consuming, and prone to human error. This project introduces an automated, scheduled synthetic monitoring framework designed to simulate user interactions, detect availability issues in near real-time, and generate actionable alerts before customers are affected. Through comparative analysis, we evaluate the performance, reliability, and operational efficiency of synthetic monitoring against traditional methods. The study also explores the strategic implications of adopting intelligent monitoring practices in the financial sector, including regulatory compliance, risk mitigation, and service-level assurance. By transitioning from manual to automated monitoring, the proposed solution aims to enhance service resilience, reduce downtime, and support digital transformation efforts across financial institutions in emerging economies.
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Date
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June 2025
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Publisher
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BUSE
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Keywords
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Cloud Service
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Synthetic Monitoring
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Supervisor
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Mr. G. Mhlanga
Bako, Alexander.pdf