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July 19, 2025Journal of Information Systems Engineering & Management1 citationsOpen Access

Enterprise Cloud Infrastructure Automation and Platform Engineering for Multi-Cloud Global Systems

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LPLakshmi Priyanka Pillati

Key Points

  • Enhanced operational efficiency and innovation can be achieved through cloud infrastructure automation and platform engineering.
  • Organizations adopting converged strategies in multi-cloud systems experience improved management of complex infrastructures and compliance.
  • The use of interoperability-driven workflow engines facilitates orchestration and simplifies heterogeneous cloud environment management.
  • Successful implementation requires not only technical investment but also organizational transformation to overcome complexity challenges.

Abstract

The contemporary enterprise technology landscape has undergone a fundamental transformation as organizations seek enhanced agility, scalability, security, and innovation capabilities through cloud computing adoption. Multi-cloud environments have emerged as strategic responses to diverse business, technical, and regulatory requirements, though they introduce significant operational complexity through heterogeneous infrastructure management challenges. The convergence of cloud infrastructure automation and platform engineering represents a paradigmatic shift in how enterprises address these complexities, enabling organizations to achieve superior operational outcomes through integrated approaches. Cloud infrastructure automation employs programmatic management of computing, networking, and storage resources via declarative models and software-defined configurations, while platform engineering focuses on designing internal platforms that provide developers with secure, self-service access to essential tools and services. Organizations implementing these converged disciplines demonstrate enhanced capabilities in managing complexity, accelerating innovation, and maintaining compliance across distributed environments. Interoperability-driven workflow engines serve as critical enablers, providing abstraction and orchestration capabilities necessary for effective heterogeneous cloud environment management. The integration enables substantial improvements in development velocity, operational efficiency, and cost optimization while addressing implementation challenges, including technical complexity, cultural transformation requirements, and specialized skill demands. Strategic implications indicate that successful multi-cloud strategies require investments in both technical capabilities and organizational transformation to realize comprehensive benefits.

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Cite This Study

Lakshmi Priyanka Pillati (2025) studied this question.

synapsesocial.com/papers/68af4ec6ad7bf08b1ead807ahttps://doi.org/10.52783/jisem.v10i57s.12545
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Designing And Managing Cloud-Centric Enterprise Platforms2023
  2. 2Cloud-Native Enterprise Engineering: Design, Automation, And Operations2023
  3. 3Cloud-Native Platform Engineering For Enterprise Applications2022
  4. 4THE ROLE OF AUTOMATION PLATFORMS IN MODERNIZING ENTERPRISE CLOUD MANAGEMENT2026
  5. 5Cloud And Network Infrastructure Automation For Enterprise Applications2021