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Cloud computing provides on-demand computing power over the internet, removing the need for physical infrastructure management. Cloud abstraction allows users to manipulate virtual machines as objects, enabling the process of integrating, launching, and running applications in a way that results in a smooth, uniform, and continuous manner. Cloud abstraction conceals technical details and offers smart options, which improve compatibility, adaptability, and scalability. As a result, cloud platforms have become an attractive option for both research and industrial sectors. With the aid of automated resource optimization layers with effective setups, complex and difficult systems can now be built and integrated with minimal effort. However, this ease of use comes with its own hidden drawbacks. By packaging system details away and relying on non-transparent automated services, we can lose sight of critical connections, and we sacrifice the oversight needed to ensure efficiency and reliability. Abstraction layers can make infrastructure fragile, leading to difficult-to-trace errors or failures and dangerous dependence on single providers. This research explores how ease of use compromises system resilience, proposing principles for more sustainable and user-friendly robust durability.