Work

Optimizing Spot Instance Reliability and Security Using Cloud-Native Data and Tools

Year: 2025

Type: article

Abstract: This paper presents "Cloudlab," a comprehensive, cloud-native laboratory designed to support network security research and training. Built on Google Cloud and adhering to GitOps methodologies, Cloudlab facilitates the creation, testing, and deployment of secure, containerized workloads using Kubernetes and serverless architectures. The lab integrates tools like Palo Alto Networks firewalls, Bridgecrew for "Security as Code," and automated GitHub workflows to establish a robust Continuous Integration/Continuous Machine Learning pipeline. By providing an adaptive and scalable environment, Cloudlab supports advanced security concepts such as role-based access control, Policy as Code, and container security. This initiative enables data scientists and engineers to explore cutting-edge practices in a dynamic cloud-native ecosystem, fostering innovation and improving operational resilience in modern IT infrastructures.

Source: Journal of Information Systems Engineering & Management

DOI: 10.52783/jisem.v10i14s.2387

Authors: Muhammad Saqib, Shubham Malhotra, Dipkumar Mehta, Jagdish Jangid, Fnu Yashu, Sachin Dixit

Institutions: Texas Tech University, Rochester Institute of Technology, Infinera (United States), Stony Brook University, Institution of Engineers, Institute of Electrical and Electronics Engineers

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4408124389

FWCI: 6.469

Cites:

Cited by: 7

Related to: 10