Treffer: Optimizing DevOps Workflows for Large-Scale Oracle Database Deployments

Organizations must adopt DevOps strategies to handle infrastructure database updates because it enhances the performance and scalability and reliability of big Oracle database installations. The standard database management system demonstrates two main issues because manual setup procedures combine with long-deployment durations that generate additional errors and reduce development operational efficiency. The research investigates DevOps workflows as they apply to Oracle database deployment through study of automation and continuous integration/continuous deployment (CI/CD) and infrastructure as code (IaC).The investigation examines DevOps-based Oracle database workflows to reveal typical operational issues affecting standard deployment frameworks while demonstrating the role of automated deployment pipelines and versioned database migration systems and real-time system status checks for expense reduction in deployment duration together with system malfunctions. The examination details four standard DevOps instruments namely Terraform, Ansible, Jenkins and Liquibase to present their functionality in developing automated systems which perform database provisioning and schema alteration alongside security compliance automation. Standard development processes need between 50% and 70% additional resources for deployment operations but DevOps decreases mistakes by around 75%. This analysis reveals organization benefits from the enhanced ease of their database expansion features and they gain improved uptime monitoring through rapid fallback procedures for quick recovery. Through the analysis organizations obtain solutions for security risks and compliance requirements along with organizational barriers to pave the way for DevOps deployment. This research provides established procedures through detailed steps allowing firms to transition their database administration from traditional practices to automatic DevOps delivery platforms. The post-study results function as an effective database implementation guide for ...