Articles | Open Access | DOI: https://doi.org/10.37547/tajas/Volume07Issue07-03

A Comparative Analysis of Pivotal Cloud Foundry and OpenShift Cloud Platforms

Srikanth Reddy Gudi , IEEE Member: 101425246, USA

Abstract

The paper presents a comprehensive comparative analysis of two leading enterprise-grade Platform as a Service (PaaS) solution: Pivotal Cloud Foundry (PCF) and Red Hat OpenShift. It examines their architectures, deployment models, operational characteristics, developer experiences, security features, performance attributes, and ecosystem support. The research highlights key differences between PCF's custom architecture with Warden containers and OpenShift's Kubernetes-native approach. The analysis covers installation procedures, management tools, application deployment workflows, and migration strategies between platforms. Through case studies and literature review, the paper provides organizations with guidance for making informed decisions about which platform best suits their specific requirements and constraints.

Keywords

Platform as a Service (PaaS), Cloud Foundry, OpenShift, Kubernetes, containerization, microservices, cloud computing, container orchestration, developer experience, cloud migration.

References

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Simioni, Alberto. "Implementation and evaluation of a container-based software architecture." Master's thesis, Università degli Studi di Padova, Dipartimento di Matematica "Tullio Levi-Civita", July 2017. Supervisor: Prof. Tullio Vardanega.

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Patel, Indravadan. "D-K8S: Container Orchestration Through Nodes Empowerment and Participation." International Journal of Computer Trends and Technology, vol. 73, no. 2, Feb. 2025, pp. 23-30. https://doi.org/10.14445/22312803/IJCTT-V73I2P104

https://darshanadinushal.medium.com/openshift-architecture-63c9e2974abe

https://www.slideshare.net/Pivotal/t3-pivotal-cloud-foundry-a-technical-overview

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How to Cite

Srikanth Reddy Gudi. (2025). A Comparative Analysis of Pivotal Cloud Foundry and OpenShift Cloud Platforms. The American Journal of Applied Sciences, 7(07), 20–29. https://doi.org/10.37547/tajas/Volume07Issue07-03