The Role of Leadership in Transforming Retail Technology Infrastructure with DevOps
DOI:
https://doi.org/10.36676/dira.v12.i3.79Keywords:
Leadership, DevOps, Retail Technology, Digital Transformation, Infrastructure Modernization, Operational Efficiency, Case Studies, Competitive AdvantageAbstract
In the fast changing retail technology market, DevOps principles are transforming how firms manage and improve their technological infrastructure. This study examines how leadership may use DevOps to improve retail technology and operations. As retail embraces digital transformation, technological strategies must fit with business goals. This change requires leaders to guide their firms through complicated infrastructure upgrade and operational efficiency. DevOps, which emphasizes communication between development and operations teams, continuous integration and delivery, and automation, has become essential for technological infrastructure agility and efficiency. DevOps benefits retail companies in a competitive world with quick customer behavior and market fluctuations. These include increased deployment frequency, time-to-market, dependability, and scalability. DevOps demands a fundamental change in corporate culture and leadership, not simply new technologies and procedures. This article discusses how successful leadership can promote collaboration, transformation, and DevOps alignment with strategic corporate objectives to achieve this cultural transition. Leadership helps overcome change resistance, foster cross-functional cooperation, and incorporate DevOps into the organization's technology and business operations. Leaders must also address talent shortages, resource limits, and outdated systems that might hinder DevOps rollout. The report also covers DevOps case studies from major retail companies that transformed their technological infrastructure. These case studies show how visionary leaders have navigated digital change, used DevOps to innovate, and improved operational efficiency and customer happiness. The article outlines best practices and important success criteria for retail executives using DevOps via these real-world experiences. The report also examines how DevOps adoption affects retail customer experience, supply chain management, and competitive positioning. Leaders can create a more flexible and responsive company that can satisfy consumer and market demands by aligning technological infrastructure with business goals. Integration of DevOps may improve data-driven decision-making, resource efficiency, and technological infrastructure resilience In conclusion, DevOps leadership in retail technology infrastructure transformation is strategic and complex. Leaders must promote DevOps and create a culture of change, cooperation, and continuous improvement. They may unleash DevOps' full potential to create technology innovation, operational excellence, and retail sector competitive advantage by doing so. This paper offers insightful advice for executives navigating digital transformation and using DevOps to accomplish strategic objectives.
References
Lee, M., & Brown, T. (2019). Integrating Docker with CI/CD Pipelines. Software Engineering Journal, 34(4), 456-470. https://doi.org/10.1109/MSEJ.2019.2901056
Misra, N. R., Kumar, S., & Jain, A. (2021, February). A review on E-waste: Fostering the need for green electronics. In 2021 international conference on computing, communication, and intelligent systems (ICCCIS) (pp. 1032-1036). IEEE.
Johnson, A., & Patel, V. (2021). Microservices Architecture Using Docker and OpenShift. Journal of Software: Evolution and Process, 33(3), e2360. https://doi.org/10.1002/smr.2360
Antara, E. F. N., Khan, S., Goel, O., "Workflow management automation: Ansible vs. Terraform", Journal of Emerging Technologies and Network Research, Vol.1, Issue 8, pp.a1-a11, 2023. Available: https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2308001
Pronoy Chopra, Om Goel, Dr. Tikam Singh, "Managing AWS IoT Authorization: A Study of Amazon Verified Permissions", International Journal of Research and Analytical Reviews (IJRAR), Vol.10, Issue 3, pp.6-23, August 2023. Available: http://www.ijrar.org/IJRAR23C3642.pdf
Shekhar, S., Jain, A., & Goel, P. (2024). Building cloud-native architectures from scratch: Best practices and challenges. International Journal of Innovative Research in Technology, 9(6), 824-829. https://ijirt.org/Article?manuscript=167455
Jain, S., Khare, A., Goel, O. G. P. P., & Singh, S. P. (2023). The Impact Of Chatgpt On Job Roles And Employment Dynamics. JETIR, 10(7), 370.
Chopra, E. P., Goel, E. O., & Jain, R., "Generative AI vs. Machine Learning in cloud environments: An analytical comparison", Journal of New Research in Development, Vol.1, Issue 3, pp.a1-a17, 2023. Available: https://tijer.org/jnrid/viewpaperforall.php?paper=JNRID2303001
• FNU Antara, Om Goel, Dr. Prerna Gupta, "Enhancing Data Quality and Efficiency in Cloud Environments: Best Practices", International Journal of Research and Analytical Reviews (IJRAR), Vol.9, Issue 3, pp.210-223, August 2022. Available: http://www.ijrar.org/IJRAR22C3154.pdf
N. Yadav, O. Goel, P. Goel, and S. P. Singh, "Data Exploration Role In The Automobile Sector For Electric Technology," Educational Administration: Theory and Practice, vol. 30, no. 5, pp. 12350-12366, 2024.
Fnu Antara, Om Goel, Dr. Sarita Gupta, "A Comparative Analysis of Innovative Cloud Data Pipeline Architectures: Snowflake vs. Azure Data Factory", International Journal of Creative Research Thoughts (IJCRT), Vol.11, Issue 4, pp.j380-j391, April 2023. Available: http://www.ijcrt.org/papers/IJCRT23A4210.pdf
Singh, S. P. & Goel, P., (2009). Method and Process Labor Resource Management System. International Journal of Information Technology, 2(2), 506-512.
Goel, P., & Singh, S. P. (2010). Method and process to motivate the employee at performance appraisal system. International Journal of Computer Science & Communication, 1(2), 127-130.
Goel, P. (2021). General and financial impact of pandemic COVID-19 second wave on education system in India. Journal of Marketing and Sales Management, 5(2), [page numbers]. Mantech Publications. https://doi.org/10.ISSN: 2457-0095 (Online)
Jain, S., Khare, A., Goel, O., & Goel, P. (2023). The impact of NEP 2020 on higher education in India: A comparative study of select educational institutions before and after the implementation of the policy. International Journal of Creative Research Thoughts, 11(5), h349-h360. http://www.ijcrt.org/viewfull.php?&p_id=IJCRT2305897
Goel, P. (2012). Assessment of HR development framework. International Research Journal of Management Sociology & Humanities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh
Jain, S., Jain, S., Goyal, P., & Nasingh, S. P. (2018). भारतीय प्रदर्शन कला के स्वरूप आंध्र, बंगाल और गुजरात के पट-चित्र. Engineering Universe for Scientific Research and Management, 10(1). https://doi.org/10.1234/engineeringuniverse.2018.0101
Garg, D. K., & Goel, P. (2023). Employee engagement, job satisfaction, and organizational productivity: A comprehensive analysis. Printing Area Peer Reviewed International Refereed Research Journal, 1(106). ISSN 2394-5303.
Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.
Deepak Kumar Garg, Dr. Punit Goel, "Change Management in the Digital Era: Strategies and Best Practices for Effective Organizational Transformation", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.10, Issue 4, Page No pp.422-428, November 2023, Available at : http://www.ijrar.org/IJRAR23D1811.pdf
Khare, A., Khare, S., Goel, O., & Goel, P. (2024). Strategies for successful organizational change management in large digital transformation. International Journal of Advance Research and Innovative Ideas in Education, 10(1). ISSN(O)-2395-4396.
Hemanth Swamy. Azure DevOps Platform for Application Delivery and Classification using Ensemble Machine Learning. Authorea. July 15, 2024. DOI: https://doi.org/10.22541/au.172107338.89425605/v1
Swamy, H. (2024). A blockchain-based DevOps for cloud and edge computing in risk classification. International Journal of Scientific Research & Engineering Trends, 10(1), 395-402. https://doi.org/10.61137/ijsret.vol.10.issue1.180
Bipin Gajbhiye, Shalu Jain, & Om Goel. (2023). Defense in Depth Strategies for Zero Trust Security Models. Darpan International Research Analysis, 11(1), 27–39. https://doi.org/10.36676/dira.v11.i1.70
Kumar Kodyvaur Krishna Murthy, Om Goel, & Shalu Jain. (2023). Advancements in Digital Initiatives for Enhancing Passenger Experience in Railways. Darpan International Research Analysis, 11(1), 40–60. https://doi.org/10.36676/dira.v11.i1.71
Aravindsundeep Musunuri, Shalu Jain, & Anshika Aggarwal. (2023). Characterization and Validation of PAM4 Signaling in Modern Hardware Designs. Darpan International Research Analysis, 11(1), 60–74. https://doi.org/10.36676/dira.v11.i1.72
Umababu Chinta, Shalu Jain, & Pandi Kirupa Gopalakrishna Pandian. (2024). Effective Delivery Management in Geographically Dispersed Teams: Overcoming Challenges in Salesforce Projects. Darpan International Research Analysis, 12(1), 35–50. https://doi.org/10.36676/dira.v12.i1.73
Dignesh Kumar Khatri, Prof.(Dr.) Punit Goel, & Ujjawal Jain. (2024). SAP FICO in Financial Consolidation: SEM-BCS and EC-CS Integration. Darpan International Research Analysis, 12(1), 51–64. https://doi.org/10.36676/dira.v12.i1.74
Saketh Reddy Cheruku, Pandi Kirupa Gopalakrishna Pandian, & Dr. Punit Goel. (2024). Implementing Agile Methodologies in Data Warehouse Projects. Darpan International Research Analysis, 12(1), 65–79. https://doi.org/10.36676/dira.v12.i1.75
Abhishek Tangudu, Dr. Punit Goel, & A Renuka. (2024). Migrating Legacy Salesforce Components to Lightning: A Comprehensive Guide. Darpan International Research Analysis, 12(2), 155–167. https://doi.org/10.36676/dira.v12.i2.76
Viharika Bhimanapati, Dr. Shakeb Khan, & Er. Om Goel. (2024). Effective Automation of End-to-End Testing for OTT Platforms. Darpan International Research Analysis, 12(2), 168–182. https://doi.org/10.36676/dira.v12.i2.77
Aravind Ayyagiri, Dr. Arpit Jain, & Om Goel. (2024). Utilizing Python for Scalable Data Processing in Cloud Environments. Darpan International Research Analysis, 12(2), 183–198. https://doi.org/10.36676/dira.v12.i2.78
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