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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: CLOUD-NATIVE ORCHESTRATION FRAMEWORKS FOR INDUSTRY-COMPLIANT WORKFLOW AUTOMATION: PATTERNS, SECURITY, AND SCALABILITY
Authors Name: Sunil Sudhakaran
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IJRTI_204232
Published Paper Id: IJRTI2505302
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: As cloud-native architectures become the cornerstone of enterprise IT transformation, there is a growing demand for orchestration frameworks that not only support scalability and automation but also ensure regulatory compliance and robust security. This paper presents a comprehensive examination of cloud-native orchestration frameworks with a focus on designing industry-compliant workflow automation systems. Through a detailed review of the current literature and technologies, we identify key gaps in security and compliance integration within popular tools such as Kubernetes, Argo Workflows, Apache Airflow, and Camunda. We propose the Compliant Cloud-Native Orchestration Framework (C2NOF), a layered architectural model incorporating policy enforcement, auditability, access control, and workflow modularity. Experimental validation highlights the model's effectiveness in achieving full audit traceability and policy enforcement with minimal performance overhead. We also explore real-world deployment scenarios, including edge and multi-cloud use cases, and evaluate the framework's scalability and limitations. The paper concludes with recommendations for future research on distributed policy evaluation, compliance-aware DSLs, and standardization. This study serves as a foundational reference for academics and practitioners building secure, scalable, and compliant cloud-native workflow systems.
Keywords: Cloud-native orchestration, Workflow automation, Kubernetes, Regulatory compliance, Microservices, DevOps, Argo Workflows, Policy enforcement, Audit logging, Security orchestration, Industry standards, Edge computing, Multi-cloud
Cite Article: "CLOUD-NATIVE ORCHESTRATION FRAMEWORKS FOR INDUSTRY-COMPLIANT WORKFLOW AUTOMATION: PATTERNS, SECURITY, AND SCALABILITY", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.d9-d18, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505302.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2505302
Registration ID:204232
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: d9-d18
Country: Chennai, Tamil Nadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505302
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505302
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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