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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-03
DOI
https://doi.org/10.5281/zenodo.15328407
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
0.00
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article

Database Optimization Using Containerized Pipelines

Zenodo (CERN European Organization for Nuclear Research)
Advanced Database Systems and Queries
article

Database Optimization Using Containerized Pipelines

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Maharshi Dayanand University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Advanced Database Systems and Queries
DOIOpen Access PDFOpenAlex
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Database Optimization Using Containerized Pipelines · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS