Research Article

Automation in Fibre Channel Management: Advancements, Benefits, and Implementation Strategies

Authors

  • Sathesh Suseendran Broadcom, USA

Abstract

Fibre Channel technology remains a cornerstone of enterprise storage infrastructure, particularly for organizations managing substantial volumes of mission-critical data. Despite widespread adoption, traditional management approaches for Fibre Channel environments require specialized expertise and create significant operational burdens that limit scalability. This article examines the transformative impact of automation technologies on Fibre Channel management across multiple dimensions. The implementation of automated configuration processes dramatically reduces provisioning timelines while substantially increasing accuracy compared to manual approaches. Advanced monitoring capabilities leverage machine learning algorithms to identify potential issues before conventional alerts would trigger, enabling proactive maintenance rather than reactive remediation. The integration of self-healing mechanisms represents a particularly significant advancement, enabling autonomous resolution of common fabric issues without administrator intervention. Economic analysis demonstrates compelling returns on investment through operational cost reductions, enhanced administrator productivity, and decreased service disruptions. The comprehensive benefits of automation span efficiency improvements, error reduction, and enhanced system resiliency, fundamentally transforming how organizations design and operate their Fibre Channel infrastructures.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (6)

Pages

613-618

Published

2025-06-17

How to Cite

Sathesh Suseendran. (2025). Automation in Fibre Channel Management: Advancements, Benefits, and Implementation Strategies. Journal of Computer Science and Technology Studies, 7(6), 613-618. https://doi.org/10.32996/jcsts.2025.7.71

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Keywords:

Fibre Channel automation, self-healing infrastructure, predictive analytics, storage area networks, infrastructure-as-code