Implementation of Agile and DevOps: strategies and best practices

  • Noelia Cruz Universidad de Palermo
Keywords: devops, agile methodologies, scaled agile framework, digital transformation

Abstract

In the last decade, the combined adoption of Agile and DevOps methodologies has become a strategic imperative for technology organizations. This article presents key findings from an 18-month research study analyzing 42 implementations across various sectors, proposing the ADMM (Agile-DevOps Maturity Model) as a reference framework. The results demonstrate significant operational transformations: 1500% increase in deployment frequency (from 2 to 30 daily); 99% reduction in lead time (14 days to 2 hours); Error rate decrease in production (from 38% to 3%). The methodology combined: (1) Quantitative analysis of 58 technical metrics (α Cronbach=0.89); (2) Qualitative study through interviews with technical leaders.
Three critical pillars were identified: (1) Cultural factors (50% effort): Cross-team collaboration; (2) Processes (30%): Data-driven standardization; (3) Tools (20%): Intelligent automation. The study reveals a significant correlation (p<0.05) between cultural maturity (r=0.79) and implementation success. Practical case studies and a phased implementation guide with key indicators are included. Emerging trends include: AI integration in CI/CD pipelines; Value Stream Management; Models for regulated environments.

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Author Biography

Noelia Cruz, Universidad de Palermo

Licenciada en Sistemas por la Universidad de Palermo y cuenta con un Máster en Dirección en Tecnología por OBS Business School. Especialista en transformación digital, metodologías ágiles y prácticas DevOps, ha liderado procesos de adopción tecnológica en empresas multinacionales, con foco en la automatización, calidad del software y gestión del cambio organizacional. Posee certificaciones en marcos como Scrum y SAFe, y experiencia en el diseño e implementación de estrategias de mejora continua en entornos tecnológicos dinámicos.

References

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Rodríguez, C. (2024, marzo 15). AI-powered CI/CD pipelines: Trends 2024 IEEE Xplore. https://doi.org/10.1109/example.12345

Published
2025-12-06
Section
Articles