Treffer: Database Optimization Using Containerized Pipelines
Title:
Database Optimization Using Containerized Pipelines
Authors:
Publisher Information:
Zenodo
Publication Year:
2025
Collection:
Zenodo
Document Type:
Fachzeitschrift
text
Language:
English
Relation:
https://zenodo.org/records/15328407; oai:zenodo.org:15328407; https://doi.org/10.5281/zenodo.15328407
DOI:
10.5281/zenodo.15328407
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.A76994AD
Database:
BASE
Weitere Informationen
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.