Key Performance Indicators for Evaluating DevOps Success

Main Article Content

Dr Rambabu Kalathoti

Abstract

DevOps has revolutionized software development by integrating development and operations teams to improve efficiency, collaboration, and software quality. Evaluating the success of DevOps implementation requires the use of Key Performance Indicators (KPIs). This paper explores essential KPIs for DevOps success, including deployment frequency, lead time for changes, change failure rate,


mean time to recovery (MTTR), and availability. 


 


Fig.1 Evaluating DevOps Success,Source([1])


Through an in-depth literature review and statistical analysis, the study aims to establish a framework for measuring and improving DevOps performance. The research employs simulation techniques to analyze realworld DevOps implementations and their effectiveness, providing actionable insights for organizations.

Article Details

How to Cite
Kalathoti , D. R. (2026). Key Performance Indicators for Evaluating DevOps Success . Journal of Quantum Science and Technology, 3(2), May (15–32). Retrieved from https://jqst.org/index.php/j/article/view/407
Section
Original Research Articles

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• Jaiswal, I. A., Renuka, A., Kumar, L., & Singh, N. (2025). Uncovering transactional anomalies in blockchain systems through graph neural networks. Proceedings of the International Conference on Computational Technologies for Research in Data Science.

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• Janapareddy, V. P. K., Sundaresan, S. S. K., Bonikela, H. R., Jaiswal, I. A., Rana, N., et al. (2025). AI-powered vulnerability detection for secure software development. Proceedings of the 2nd International Conference on New Frontiers in

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• Maddula, L. P., Cherukuri, P. A. A., Jaiswal, I. A., Ganesan, S. K., Rana, N., & Khera, M. (2025). Optimization of code efficiency with the utilization of artificial intelligence. Proceedings of the 2nd International Conference on New Frontiers in Communication and Intelligent Systems.

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