This paper proposes an efficient data replication strategy to improve reliability of data stored in the Salesforce cloud environment. The strategy replicates data from Salesforce to the Amazon Web Services cloud for redundancy. It uses a lightweight time-series algorithm to predict which data files will be most frequently requested in the future and prioritizes those for replication. The number of replicas is determined dynamically based on availability thresholds. This strategy aims to improve fault tolerance, ensure data availability even if the primary Salesforce storage fails, and meet quality of service requirements in a cost effective manner for businesses using cloud computing.