Innovating infrastructure automation and DevOps practices for scalable data pipelines: Beyond conventional approaches

Varadaraj, Prabhu Govindasamy (2025) Innovating infrastructure automation and DevOps practices for scalable data pipelines: Beyond conventional approaches. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 839-851. ISSN 2582-8266

This article explores the transformative evolution of data pipeline infrastructure automation and its impact on modern enterprise operations. The article examines how organizations are revolutionizing their approach to data processing through the integration of cloud-agnostic deployment strategies, intelligent self-healing systems, and enhanced DevOps practices. By analyzing the challenges of traditional infrastructure management and presenting solutions through automation and artificial intelligence, this paper demonstrates how modern enterprises are achieving improved operational efficiency, enhanced reliability, and better resource utilization. The article investigates the implementation of best practices across technology integration, process optimization, and team collaboration, while also exploring the future implications of AI-powered automation in data pipeline management. Through comprehensive analysis of industry practices and emerging trends, this provides insights into the evolution of infrastructure automation and its role in shaping the future of data processing capabilities.