The utilization of cloud computing has become a crucial strategy for modern organizations to enhance information system scalability amidst a dynamic business environment. This study aims to analyze the effectiveness of cloud architecture in handling workload spikes flexibly and efficiently. Through a systematic literature review method, this study evaluates various technical mechanisms such as auto-scaling, resource pooling, and distributed computing offered by cloud service providers. The findings demonstrate that cloud technology adoption not only provides high operational flexibility through real-time resource elasticity but also offers significant financial advantages through pay-as-you-go economic models. Furthermore, the integration of distributed architectures is proven to improve the availability and resilience of information systems against potential technical failures and increasingly complex cyber threats. This analysis reveals that successful cloud implementation heavily relies on the precision of scalability policy configurations and well-planned cost management strategies. In conclusion, investment in cloud-based infrastructure is a strategic decision that enables companies to maintain optimal system performance despite facing massive data growth demands. The results of this study provide practical guidance for decision-makers and IT practitioners in optimizing digital infrastructure to support sustainable and competitive business continuity. With a structured approach, this research serves as a valid reference for the development of future information systems that are more resilient, efficient, and responsive to the rapidly evolving global market needs.