Optimizing Legacy Digital Systems for Sustainability: Integrating Site Reliability Engineering with Industry 4.0 Practices
- Authors
-
-
Aleksi Korhonen
University of Helsinki, FinlandAuthor
-
- Keywords:
- Digital transformation, Site Reliability Engineering, sustainability, Industry 4.0
- Abstract
-
Digital transformation has emerged as one of the most consequential socio-technical phenomena shaping contemporary economies, organizations, and everyday life. Across sectors such as retail, manufacturing, education, energy, and logistics, digital technologies are increasingly embedded in legacy infrastructures that were never designed to support the scale, velocity, and reliability demands of today’s data-driven environments. At the same time, the environmental consequences of this transformation have become impossible to ignore, as data centers, semiconductor manufacturing, network infrastructures, and Internet of Things ecosystems place unprecedented pressure on energy systems, water resources, and material supply chains. Within this context, questions of reliability, resilience, and operational sustainability have moved from the margins to the center of both scholarly and managerial debates. Site Reliability Engineering has gained prominence as a framework for managing complex digital systems by integrating software engineering principles with operations, yet its broader implications for sustainability-oriented digital transformation remain underexplored.
This research article develops an integrative theoretical and interpretive analysis of how Site Reliability Engineering can function as a critical connective mechanism between digital transformation initiatives, legacy infrastructure modernization, and environmental sustainability goals. Drawing strictly on the provided body of literature, the article situates Site Reliability Engineering within the evolution of Industry 4.0, the expansion of data-intensive infrastructures, and the growing policy emphasis on sustainable development and climate mitigation. Particular attention is paid to the challenges faced by legacy retail and industrial systems, where reliability failures not only disrupt economic activity but also exacerbate energy inefficiencies and resource waste. By engaging deeply with existing research on digital transformation in education, manufacturing, supply chains, and environmental governance, this study demonstrates that reliability is not merely a technical attribute but a socio-technical condition with far-reaching ecological and social implications.
Methodologically, the article adopts a qualitative, theory-driven synthesis approach, combining critical literature analysis with conceptual integration. Rather than proposing new empirical data, the study interprets and recontextualizes existing findings to reveal overlooked connections between reliability engineering practices and sustainability outcomes. The results highlight how reliability-oriented practices such as error budgeting, automation, and observability can indirectly support environmental objectives by stabilizing system performance, reducing wasteful overprovisioning, and enabling more efficient use of digital infrastructure. The discussion advances a multi-layered theoretical framework that positions Site Reliability Engineering as an enabling capability for sustainable digital transformation, while also acknowledging its limitations, organizational barriers, and potential rebound effects.
By bridging research on digital transformation, environmental sustainability, and operational reliability, this article contributes to information management, engineering, and sustainability scholarship. It argues that future research and practice must move beyond siloed approaches and recognize reliability as a foundational element of sustainable digital systems. In doing so, the study responds to calls for more holistic analyses of technology, society, and the environment, and offers a conceptual pathway for aligning operational excellence with global sustainability imperatives.
- Downloads
-
Download data is not yet available.
- References
-
Billey, A., & Wuest, T. (2024). Energy digital twins in smart manufacturing systems: A case study. Robotics and Computer-Integrated Manufacturing, 88, 102729. https://doi.org/10.1016/j.rcim.2024.102729
Cammarano, A., Varriale, V., Michelino, F., & Caputo, M. (2023). Employing online big data and patent statistics to examine the relationship between end Product's perceived quality and Components' technological features. Technology in Society, 73, 102231. https://doi.org/10.1016/j.techsoc.2023.102231
Iivari, N.; Sharma, S.; Ventä-Olkkonen, L. Digital Transformation of Everyday Life–How COVID-19 Pandemic Transformed the Basic Education of the Young Generation and Why Information Management Research Should Care? Int. J. Inf. Manag. 2020, 55, 102183.
Bitoun, R. E., David, G., & Devillers, R. (2023). Strategic use of ecosystem services and Co-benefits for sustainable development goals. Sustainable Development, 31(3), 1296–1310. https://doi.org/10.1002/sd.2448
UN Environment. Digital Transformations|UNEP–UN Environment Programme. Available online: https://www.unep.org/topics/digital-transformations (accessed on 7 November 2024).
Dasari, H. (2025). Implementing Site Reliability Engineering (SRE) in Legacy Retail Infrastructure. The American Journal of Engineering and Technology, 7(07), 167–179. https://doi.org/10.37547/tajet/Volume07Issue07-16
Chandan, A., John, M., & Potdar, V. (2023). Achieving UN SDGs in food supply chain using blockchain technology. Sustainability, 15(3). https://doi.org/10.3390/su15032109
Feroz, A.K.; Zo, H.; Chiravuri, A. Digital Transformation and Environmental Sustainability: A Review and Research Agenda. Sustainability 2021, 13, 1530.
Huang, Y. Technology Innovation and Sustainability: Challenges and Research Needs. Clean Technol. Environ. Policy 2021, 23, 1663–1664.
Bai, C., Zhou, H., & Sarkis, J. (2023). Evaluating industry 4.0 technology and sustainable development goals – A social perspective. International Journal of Production Research, 61(23), 8094–8114. https://doi.org/10.1080/00207543.2022.2164375
Jones, N. How to Stop Data Centres from Gobbling up the World’s Electricity. Nature 2018, 561, 163–166.
Cricelli, L., Mauriello, R., Strazzullo, S., & Camilleri, M. A. (2024). Assessing the impact of industry 4.0 technologies on the social sustainability of Agrifood companies. Business Strategy and the Environment. https://doi.org/10.1002/bse.3874
Da Silva, S. F., Eckert, J. J., Silva, F. L., Silva, L. C. A., & Dedini, F. G. (2021). Multi-objective optimization design and control of plug-in hybrid electric vehicle powertrain for minimization of energy consumption, exhaust emissions and battery degradation. Energy Conversion and Management, 234, 113909. https://doi.org/10.1016/j.enconman.2021.113909
Camilleri, M. A., Troise, C., Strazzullo, S., & Bresciani, S. (2023). Creating shared value through open innovation approaches: Opportunities and challenges for corporate sustainability. Business Strategy and the Environment, 32(7), 4485–4502. https://doi.org/10.1002/bse.3377
Diao, H.; Yang, H.; Tan, T.; Ren, G.; You, M.; Wu, L.; Yang, M.; Bai, Y.; Xia, S.; Song, S.; et al. Navigating the Rare Earth Elements Landscape: Challenges, Innovations, and Sustainability. Miner. Eng. 2024, 216, 108889.
Data Centres & Networks. Available online: https://www.iea.org/energy-system/buildings/data-centres-and-data-transmission-networks (accessed on 7 November 2024).
Arias, P.; Bellouin, N.; Coppola, E.; Jones, R.; Krinner, G.; Marotzke, J.; Naik, V.; Palmer, M.; Plattner, G.-K.; Rogelj, J.; et al. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Technical Summary. 2021. Available online: https://www.ipcc.ch/report/sixth-assessment-report-working-group-i/ (accessed on 25 September 2024).
Wang, Q.; Huang, N.; Chen, Z.; Chen, X.; Cai, H.; Wu, Y. Environmental Data and Facts in the Semiconductor Manufacturing Industry: An Unexpected High Water and Energy Consumption Situation. Water Cycle 2023, 4, 47–54.
Downloads
pdf
Published
-12-31
Issue
Vol. 4 No. 12 (2025): Volume 04 Issue 12
Section
Articles
License
Copyright (c) 2025 Aleksi Korhonen (Author)
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright of all articles published in (GMJ) Journal is retained by the authors. The articles are licensed under the open access Creative Commons CC BY 4.0 license, which means that anyone can download and read the paper for free.
How to Cite
Aleksi Korhonen. (2025). Optimizing Legacy Digital Systems for Sustainability: Integrating Site Reliability Engineering with Industry 4.0 Practices. Global Multidisciplinary Journal, 4(12), 71-81. https://www.grpublishing.org/journals/index.php/gmj/article/view/277
- Downloads
- Published
- 2025-12-31
- Section
- Articles
- License
-
Copyright (c) 2025 Aleksi Korhonen (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Dr. Amelia Torres, Transforming Merger and Acquisition Practice through Artificial Intelligence: A Theoretical and Applied Framework for AI-Enabled Due Diligence and Decision-Making , Emerging Indexing of Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 4 Issue 11 2025
- Dr. Emilia Laurent, Graph-Driven Dynamic Pricing and Intelligent Resource Orchestration in Cloud And 5G Ecosystems: A Cost-Optimized, Secure, And Value-Aligned Framework for Private Cloud Transformation , Emerging Indexing of Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Dr. Michael R. Hoffman, Cloud Deployed Ensemble Deep Learning Architectures for Predictive Modeling of Cryptocurrency Market Dynamics , Emerging Indexing of Global Multidisciplinary Journal: Vol. 5 No. 1 (2026): Volume 05 Issue 01
- Shivam Kumar, Advancing Enterprise Identity Assurance: A Unified Framework Integrating FIDO2, Certificate-Based Authentication, and Biometric Integrity Mechanisms , Emerging Indexing of Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 4 Issue 11 2025
- Lalit Sharma, Integrative Nanotechnology-Driven Food Safety Systems: Advanced Biosensing, Smart Packaging, And Supply Chain Intelligence for Detection of Adulteration and Contaminants , Emerging Indexing of Global Multidisciplinary Journal: Vol. 5 No. 2 (2026): Volume 05 Issue 2
- Dr. Miguel Alvarez, Artificial Intelligence-Driven Transformation of Fleet Management and Sustainable Transportation: Integrated Strategies, Theoretical Foundations, and Practical Implications , Emerging Indexing of Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 4 Issue 11 2025
- Johnathan R. Maxwell, Strategic Integration of Circular Business Models: Pathways to Sustainable Value Creation and Environmental Performance , Emerging Indexing of Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Marcus Snowden, An Analysis of Fault-Tolerant Dual-Core Lockstep Architectures and Soft Error Mitigation Strategies in High-Reliability Semiconductor Systems , Emerging Indexing of Global Multidisciplinary Journal: Vol. 3 No. 10 (2024): Volume 03 Issue 10
- Dr. Elias Van der Meer, Strategic Cybersecurity Governance And Risk-Based Policy Integration In Contemporary Organizations , Emerging Indexing of Global Multidisciplinary Journal: Vol. 4 No. 9 (2025): Volume 4 Issue 9 2025
- Patrick L. Grayson, Behavioral Biometric Intelligence and Regulatory Convergence in Retirement Account Protection: An AI Driven Security Architecture for 401k Platforms , Emerging Indexing of Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 4 Issue 11 2025
You may also start an advanced similarity search for this article.
