Adaptive Deployment Strategies in Change Management: Balancing Risk, Downtime, and User Experience in Modern Software Delivery
Author(s): Abhishek Sharma
Publication #: 2512018
Date of Publication: 19.12.2025
Country: United States
Pages: 1-11
Published In: Volume 11 Issue 6 December-2025
DOI: https://doi.org/10.62970/IJIRCT.v11.i6.2512018
Abstract
In the world of modern software engineering, where CI/CD is the norm and not the exception, software deployment is both a key innovation enabler and a great thing that can blow up the world. Time was when organizations could afford an interruption of service now and again, but not anymore. In doing so, deployment strategies have shifted from being solely technical choices to serving as a strategic lever that drives change management, reconciling three competing and often conflicting imperatives: risk, downtime, and user experience.
This paper examines the evolution of adaptive deployment strategies in contemporary software delivery. Source: Reprinted from “Making Implementation Succeed: A Structured Implementation Method for Children and Families Programs,” by Samuel H. Zins, Loraine Jansson, Karen E. Cole, and Louise C. Dwyer, in Prevention of Problems in Childhood: Psychological Research and Strategies, edited by R. P. Weisberg, M. Cashman, and J. Cembrowski (New York: John Wiley & Sons, 1993), p. 49. Based on the model previously presented by Elena Sunshine (2024), which introduced five critical deployment strategies — Big-Bang, Blue-Green, Rolling, Canary, and Ring — this work explores each of these strategies, discussing their underlying rationales, merits, and challenges.
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