Authors: Farhan Baig
Abstract: Enterprise adoption of Salesforce increasingly demands robust, scalable, and secure infrastructure to support high-volume operations. Oracle Enterprise Linux (OEL) provides a stable and optimized platform that meets these requirements, delivering enterprise-grade performance, security, and reliability. This review explores the integration of Salesforce with OEL, highlighting how the operating system facilitates high-performance deployments, supports mission-critical workloads, and enables seamless interaction with databases and middleware.The article examines infrastructure design, installation and configuration best practices, performance optimization, automation, security, and compliance for large-scale Salesforce environments. Key strategies include kernel tuning, resource management, load balancing, containerization, and orchestration using tools such as Docker, Kubernetes, and OpenShift. Automation and configuration management using Ansible, Puppet, and other tools are discussed to ensure consistent deployments, operational efficiency, and minimal downtime. Security considerations, including SELinux, access controls, and compliance with regulatory standards, are analyzed to safeguard sensitive customer data and meet industry mandates. Real-world case studies illustrate the successful deployment of Salesforce on OEL in large enterprises, emphasizing lessons learned, performance metrics, and operational outcomes. Emerging trends such as AI-driven optimization, predictive analytics, cloud-native integrations, and edge computing are explored to provide insights into the future of hybrid Salesforce architectures. By synthesizing technical, operational, and strategic considerations, this review equips IT leaders, architects, and administrators with actionable guidance for deploying and managing high-volume Salesforce workloads effectively on Oracle Enterprise Linux. The findings underscore the advantages of using OEL as a reliable, scalable, and secure foundation for modern enterprise CRM operations.
DOI: https://doi.org/10.5281/zenodo.17149884
International Journal of Science, Engineering and Technology