CRM Architecture Deep Dive: Building for Scale on Salesforce
DOI:
https://doi.org/10.15662/1tqb1649Keywords:
CRM, AI, Salesforce, MLAbstract
The author in this paper explains, how CRM could be scaled and could be more effective with optimized Salesforce architecture, asynchronous processing, integration design pattern and effective CI/CD administration. The quantitative tests are performed based on high-volume loads of the data, API traffic, simultaneous user and deployment pipeline. The findings claim that the stratified CRM plan, information standardization, modular Lightning elements, and asynchronous Apex have a defining impact of decreasing the processing time, and system stability. It also enhances performance in terms of integration, when it comes to REST API, selective field projection and caching is requested. Systemized processes of CI/CD minimize failures in deploying and enhances reliability. The results identify the role that architecture, as well as operational decisions, play in scalable enterprise CRM settings.
References
[1] Ranjan, S. (2023). A COMPREHENSIVE STUDY OF SALESFORCE’S CLOUD-BASED INFRASTRUCTURE AND ITS IMPACT ON SCALABLE BUSINESS OPERATIONS [Journal-article]. International Journal of Computer Science and Engineering Research and Development (IJCSERD), 16–26. https://www.researchgate.net/publication/383977801_A_COMPREHENSIVE_STUDY_OF_SAL ESFORCE'S_CLOUD BASED_INFRASTRUCTURE_AND_ITS_IMPACT_ON_SCALABLE_BUSINESS_OPERATIONS
[2] Pratelli, A., Brocchini, L., Souleyrette, R. R., Teng, W., & Petri, M. (2022). International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences. International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences. https://doi.org/10.37082/ijirmps
[3] Ramachandra, K., Chavan, M., Guravannavar, R., & Sudarshan, S. (2014). Program transformations for asynchronous and batched query submission. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1402.5781
[4] Swathi, P. (2021). Architecture and key features of Salesforce Platform. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4284500
[5] Paul, D., Sudharsanam, S. R., & Surampudi, Y. (2021, March 2). Implementing continuous integration and continuous deployment pipelines in hybrid cloud environments: challenges and solutions. Journal of Science & Technology. https://thesciencebrigade.com/jst/article/view/378
[6] Muse, B. A., Rahman, M. M., Nagy, C., Cleve, A., Khomh, F., & Antoniol, G. (2022). On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2201.02215
[7] Guduru, V. S. (2023). The Future of DevOps in Salesforce: Implementing CI/CD with COPADO. Journal of Artificial Intelligence Machine Learning and Data Science, 1(2), 1253–1256. https://doi.org/10.51219/jaimld/venkat-sumanth-guduru/286
[8] Goyal, N., Pandey, A. K., Gupta, S. K., & Pandey, R. (2019). Suppleness of Multi-Tenancy in cloud Computing: advantages, privacy issues and risk factors. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3358249
[9] Kanade, S., & Manza, R. (2019). A Comprehensive study on multi tenancy in SAAS applications. International Journal of Computer Applications, 181(44), 25–27. https://doi.org/10.5120/ijca2019918531
[10] Kabbedijk, J., Bezemer, C., Jansen, S., & Zaidman, A. (2014). Defining multi-tenancy: A systematic mapping study on the academic and the industrial perspective. Journal of Systems and Software, 100, 139–148. https://doi.org/10.1016/j.jss.2014.10.034





