DevOps Implementation for Enterprise Resource Planning Systems

This research paper presents a comprehensive DevOps implementation framework for an Enterprise Resource Planning (ERP) system designed for educational institutions. The paper documents the complete software development lifecycle (SDLC) from code development through production deployment, emphasizing automation, scalability, and reliability. Our approach demonstrates how modern DevOps practices can be applied to complex multi-tier web applications, providing significant improvements in deployment frequency, system reliability, and development velocity. The system supports 5000+ concurrent users across 40+ languages and employs a comprehensive DevOps stack including GitHub Actions/Jenkins-based CI/CD pipelines, Docker containerization, AWS cloud infrastructure, Infrastructure as Code (IaC), and real-time monitoring. Our implementation reduces deployment time from over four hours (manual) to 15 minutes (automated), increases release frequency from monthly to weekly, and achieves 99.5% uptime in production. Performance testing demonstrates optimal response times (200–500 ms) and database query efficiency (50–300 ms) under load

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Publication Details

Journal
JOURNAL OF ADVANCE AND FUTURE RESEARCH
Published
2026-04-01
DOI
https://doi.org/10.56975/jaafr.v4i4.507229
Primary Topic
ERP Systems Implementation and Impact
Type
article
Field-Weighted Citation Impact
0.00
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article

DevOps Implementation for Enterprise Resource Planning Systems

Vishal Dalimbe, Prateek Yella, Pratik Pansare
JOURNAL OF ADVANCE AND FUTURE RESEARCH
ERP Systems Implementation and Impact
article

DevOps Implementation for Enterprise Resource Planning Systems

Vishal Dalimbe, Prateek Yella, Pratik Pansare
article en

Abstract

This research paper presents a comprehensive DevOps implementation framework for an Enterprise Resource Planning (ERP) system designed for educational institutions. The paper documents the complete software development lifecycle (SDLC) from code development through production deployment, emphasizing automation, scalability, and reliability. Our approach demonstrates how modern DevOps practices can be applied to complex multi-tier web applications, providing significant improvements in deployment frequency, system reliability, and development velocity. The system supports 5000+ concurrent users across 40+ languages and employs a comprehensive DevOps stack including GitHub Actions/Jenkins-based CI/CD pipelines, Docker containerization, AWS cloud infrastructure, Infrastructure as Code (IaC), and real-time monitoring. Our implementation reduces deployment time from over four hours (manual) to 15 minutes (automated), increases release frequency from monthly to weekly, and achieves 99.5% uptime in production. Performance testing demonstrates optimal response times (200–500 ms) and database query efficiency (50–300 ms) under load

JOURNAL OF ADVANCE AND FUTURE RESEARCHVol. 4(4)
D.Y. Patil University (IN), Ajeenkya DY Patil University
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
ERP Systems Implementation and Impact
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