Database Optimization Using Containerized Pipelines

Modern database systems require more than manual tuning to meet the performance demands of dynamic, large-scale applications. This research presents a DevOps-driven solution that integrates containerized CI/CD pipelines for automated MySQL database optimization. By utilizing tools like Docker, Jenkins, Prometheus, and Grafana, the framework enables continuous performance monitoring and proactive tuning. The approach offers a scalable, adaptable foundation for enterprise-grade database management.