Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
"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
Downloads:
000451
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