Mulpuri, Ravichandra (2025) Comprehensive Review of Multi-cloud Architecture for Salesforce in Enterprise Environments. International Journal of Science and Research Archive, 15 (3). pp. 1825-1838. ISSN 2582-8185
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Abstract
The adoption of multicloud architectures is rapidly increasing as enterprises seek flexibility, scalability, and optimization across diverse workloads. This paper examines the integration of Salesforce, a leading cloud-based CRM platform, within multicloud environments, particularly in large enterprise settings. It explores how Salesforce can operate seamlessly alongside platforms such as AWS, Microsoft Azure, and Google Cloud to support real-time data synchronization, resource allocation, and system interoperability. Key integration techniques discussed include API-based communication (REST, OData, GraphQL), data virtualization, and ETL processes to ensure data consistency across cloud platforms. The paper also addresses performance optimization strategies, including the distribution of workloads across specialized cloud services and the use of DevOps practices like CI/CD pipelines and monitoring tools. Security and compliance considerations are explored in the context of regulations such as GDPR, HIPAA, and CCPA, emphasizing the importance of unified governance, encryption, and access controls. Containerization technologies like Docker and Kubernetes are highlighted for their role in managing consistent deployments across multicloud ecosystems. Overall, this review provides a comprehensive analysis of the opportunities and challenges in integrating Salesforce within a multicloud strategy, offering insights into achieving operational efficiency, regulatory compliance, and scalable CRM performance.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/ijsra.2025.15.3.1967 |
Uncontrolled Keywords: | Multicloud Architecture; Salesforce Integration; Enterprise Cloud Environments; Data Synchronization; Salesforce CRM; Devops And CI/CD; Big Data Analytics; Containerization (Docker; Kubernetes) |
Depositing User: | Editor IJSRA |
Date Deposited: | 27 Jul 2025 16:33 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/2648 |