This study examines the design of fault tolerance mechanisms in cloud computing infrastructure, with particular emphasis on Amazon Web Services (A WS). Fault tolerance is critical to assure the continuous availability and reliability of cloud-based systems. Auto Scaling, an A WS feature, provides a dynamic way to handle demand changes while keeping the system flexible. This article presents a fault tracking management approach using Auto Scaling in A WS based on current research and real-world concerns. The importance of monitoring fault tolerance policies is emphasized, along with practical implementation methods. Furthermore, a case study demonstrating the success of this technique in real-world situations is presented, highlighting its importance for solving current challenges.
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Nanthini et al. (2024) studied this question.
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