End-to-End Salesforce Release Management with Automated Testing, Version Control, and CI Pipelines

Abstract

The increasing complexity of Salesforce ecosystems has intensified the need for robust, automated, and scalable release management practices. As organizations adopt Lightning Web Components, API-driven integrations, and AI-enabled CRM functionalities, traditional deployment approaches have proven inadequate in ensuring reliability, traceability, and compliance. This article examines an end-to-end Salesforce release management framework that integrates source-driven development, version control, automated testing, and continuous integration pipelines within hybrid Unix/Linux enterprise environments. Emphasis is placed on the role of Salesforce DX, Git-based workflows, and CI orchestration tools in enabling consistent deployments across development, testing, and production stages. The study also highlights the growing relevance of automated quality assurance, security enforcement, and intelligent monitoring in mitigating deployment risks and improving software quality. By synthesizing contemporary DevOps practices with emerging AI-assisted pipeline optimization, the article demonstrates how organizations can enhance release velocity while maintaining governance and operational resilience. The findings contribute to ongoing discourse on modern CRM engineering by outlining a practical and scalable release management approach aligned with enterprise DevOps standards.