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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63207

A Study of the Impact of DevOps Adoption on Agile Project Performance in IT Organizations

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63207

Volume:

10 |

5 |

May 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Vicky Shingare

Vicky Shingare

MBA in Business Analytics

Zeal Institute of Management and Computer Application

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Mentors

Prof. Shivaji Rajmane

Prof. Shivaji Rajmane

MBA in Business Analytics

Zeal Institute of Management and Computer Application

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Abstract

The integration of DevOps practices within Agile project management frameworks has emerged as a pivotal strategy for IT organizations seeking to enhance software delivery speed, quality, and team collaboration. This study investigates the impact of DevOps adoption on Agile project performance in IT organizations, with special reference to the Pune region of Maharashtra. Using a mixed-method research approach, data was collected from 60 IT firms through structured questionnaires, expert interviews, and secondary sources. Findings reveal a significant positive correlation between DevOps adoption and key Agile performance metrics including deployment frequency, sprint velocity, defect density, and team collaboration. Despite moderate awareness, implementation challenges such as cultural resistance, tool integration complexity, and skill gaps remain prevalent. Policy recommendations are proposed to improve DevOps accessibility and outcomes for IT organizations of varying sizes.

KEYWORDS

Keywords: DevOps Agile Methodology Project Performance IT Organizations Continuous Integration Continuous Delivery Sprint Velocity.

Cite This Article

Vicky Shingare, Prof. Shivaji Rajmane, "A Study of the Impact of DevOps Adoption on Agile Project Performance in IT Organizations," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-6, May 2026.

Full Article/Conclusion

1.1    Key Results I)        DevOps adoption among Pune's IT organizations shows moderate-to-high awareness but significant implementation gaps, particularly for IaC and containerization. II)      CI/CD pipeline adoption demonstrates the strongest correlation with Agile performance improvement, particularly in deployment frequency and defect density. III)   DevOps culture has the highest correlation (r = 0.82) with team collaboration, underscoring that organizational transformation is more critical than tool adoption alone. IV)   Skill shortages (70%) and cultural resistance (68%) are the most prevalent barriers to DevOps adoption in Pune's IT sector. V)     Automated testing has a strong positive correlation with defect density reduction (r = 0.71), validating its integration as a core Agile quality gate. 1.2    Policy Recommendations 1.       Skill Development Programs: Government and industry bodies should collaborate to offer subsidized DevOps certifications (AWS DevOps, Azure DevOps, CKA) for IT professionals in Pune. 2.       DevOps Center of Excellence (CoE): Establish shared DevOps CoEs in IT parks like Hinjewadi to provide small IT firms access to tools, mentorship, and best practices. 3.       Open-Source Toolchain Promotion: Promote adoption of cost-effective open-source DevOps tools (Jenkins, GitLab CI, Prometheus, Ansible) to reduce tooling cost barriers for SMEs. 4.       Cultural Change Initiatives: Mandate DevOps culture workshops and cross-functional team building as part of Agile transformation roadmaps. 5.       DevSecOps Frameworks: Develop and promote standardized DevSecOps frameworks tailored to Indian IT regulatory requirements (CERT-In guidelines, IT Act 2000). 1.3    Scope for Future Research •          Comparative study of DevOps adoption maturity across Pune, Bengaluru, and Hyderabad IT clusters. •          The role of AI/ML-driven AIOps in augmenting DevOps monitoring and incident management. •          Impact of GitOps and platform engineering on Agile team autonomy and delivery throughput. •          Industry-specific DevOps adoption models for BFSI, healthcare IT, and government digital transformation projects.  

References

1.       Humble, J., & Farley, D. (2010). Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Addison-Wesley Professional. 2.       Forsgren, N., Humble, J., & Kim, G. (2018). Accelerate: The Science of Lean Software and DevOps. IT Revolution Press. 3.       Kim, G., Debois, P., Willis, J., & Humble, J. (2016). The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations. IT Revolution Press. 4.       Bass, L., Weber, I., & Zhu, L. (2015). DevOps: A Software Architect's Perspective. Addison-Wesley Professional. 5.       Dikert, K., Paasivaara, M., & Lassenius, C. (2016). Challenges and success factors for large-scale agile transformations: A systematic literature review. Journal of Systems and Software, 119, 87-108. 6.       Puppet Labs (2019). State of DevOps Report 2019. Puppet Labs Inc. 7.       NASSCOM Foundation (2022). Digital Transformation in Indian IT SMEs: DevOps and Agile Adoption Survey. NASSCOM Publications. 8.       Lwakatare, L. E., Kuvaja, P., & Oivo, M. (2016). Relationship of DevOps to Agile, Lean and Continuous Deployment. Proceedings of ICSOB 2016. Springer. 9.       Ministry of Electronics & IT, India (2022). National Cloud Policy and Digital India DevOps Standards. Government of India. 10.    Gartner (2020). Magic Quadrant for Enterprise Agile Planning Tools. Gartner Research.

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Publication Date

5/15/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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