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.
Institutions
- Maharshi Dayanand University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-03
- DOI
- https://doi.org/10.5281/zenodo.15328406
- Primary Topic
- Color perception and design
- Type
- article
- Field-Weighted Citation Impact
- 0.00