Green DevOps Metrics for Utility Operations

Authors

  • Lakshmi Prasad Rongali Meridian Cooperative Inc, USA Author

DOI:

https://doi.org/10.15662/IJRAI.2025.0804008

Keywords:

Continuous Integration, Governance, Compliance, Automated policy, Workflow, Tracking, Infrastructure as Code (IaC), DevOps, metrics, Environmental, Software, CUE, Green IT, Utility, Deployment, performance, operations, IT infrastructure

Abstract

The escalating environmental footprint of information technology (IT) and software development, particularly within energy-intensive sectors like utility operations, necessitates a paradigm shift towards sustainable practices. This article proposes a comprehensive framework for Green DevOps metrics tailored for the utility industry. It addresses the critical need to quantify and mitigate the environmental impact of software development and operational processes, which are increasingly intertwined with smart grid infrastructure and data centers. The framework integrates adaptations of traditional DevOps performance indicators, such as Deployment Frequency and Lead Time for Changes, with specialized Green IT metrics, including Power Usage Effectiveness (PUE), Carbon Usage Effectiveness (CUE), Water Usage Effectiveness (WUE), and the Software Carbon Intensity (SCI). This paper explores the causal relationships between software development practices, IT infrastructure, and environmental impact, highlighting implementation challenges such as data granularity, legacy system integration, and the need for standardization. Theoretical case studies illustrate the practical application of these metrics in optimizing smart grid software and data center operations for reduced carbon footprint and enhanced resource efficiency. The proposed framework aims to guide utility companies in improving their environmental sustainability, ensuring regulatory compliance, and enhancing operational efficiency through measurable Green DevOps initiatives.

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Downloads

Published

2025-08-03

How to Cite

Green DevOps Metrics for Utility Operations. (2025). International Journal of Research and Applied Innovations, 8(4), 12600-12615. https://doi.org/10.15662/IJRAI.2025.0804008