Managing Multi-Cloud in Healthcare: A DevOps Playbook for the Future
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I3P105Keywords:
Multi-cloud, healthcare, DevOps, cloud management, interoperability, data security, regulatory compliance, healthcare IT, operational efficiency, patient care, cloud strategy, digital transformation, agile methodologies, technology adoption, IT infrastructure, healthcare delivery, continuous integration, deployment, automation, collaboration, health information systems, data analytics, patient outcomes, innovation, technology integration, risk management, cloud solutions, healthcare providers, IT teams, playbookAbstract
In an era where healthcare increasingly relies on technology, the shift toward multi-cloud environments presents exciting opportunities and complex challenges. This playbook aims to equip healthcare organizations with the strategies needed to effectively navigate the multi-cloud landscape while embracing the principles of DevOps. Organizations can enhance their agility and responsiveness by fostering collaboration between development and operations teams, ultimately improving patient outcomes. We explore best practices for managing diverse cloud services and addressing data security, compliance, and interoperability issues. Furthermore, we delve into the importance of establishing a robust governance framework to ensure that cloud resources are utilized efficiently and responsibly. With case studies from leading healthcare institutions, we illustrate how adopting a multi-cloud approach can drive innovation, reduce costs, and enable more personalized patient care. The playbook also emphasizes the significance of continuous monitoring and feedback loops, which are crucial for maintaining performance and achieving regulatory compliance in a rapidly evolving landscape. As healthcare organizations strive to become more data-driven, this guide provides actionable insights and practical tools to help them leverage the full potential of multi-cloud solutions while mitigating risks. By embracing a DevOps culture, healthcare providers can streamline their operations and enhance their ability to respond to emerging challenges in an increasingly interconnected world. This playbook serves as a roadmap for healthcare leaders ready to embrace the future, transform their service delivery models, and ultimately deliver higher-quality care to patients sustainably and innovatively
References
1. Raj, P., Raman, A., Raj, P., & Raman, A. (2018). Automated multi-cloud operations and container orchestration. Software-Defined Cloud Centers: Operational and Management Technologies and Tools, 185-218.
2. Sandobalin, J., Insfran, E., & Abrahao, S. (2018). An infrastructure modelling approach for multi-cloud provisioning.
3. Li, X. (2020). Private Multi-Cloud Architectural Solutions for NRDC DataStreaming Services (Master's thesis, University of Nevada, Reno).
4. Ganesan, P. (2020). DevOps Automation for Cloud Native Distributed Applications. Journal of Scientific and Engineering Research, 7(2), 342-347.
5. Domingus, J., & Arundel, J. (2022). Cloud Native DevOps with Kubernetes. " O'Reilly Media, Inc.".
6. Solouki, S. (2020). Knowledge Management Practices in DevOps (Doctoral dissertation, Université d'Ottawa/University of Ottawa).
7. Koskinen, A. (2019). DevSecOps: building security into the core of DevOps (Master's thesis).
8. Bhattacharjee, A., Barve, Y., Gokhale, A., & Kuroda, T. (2017). Cloudcamp: A model-driven generative approach for automating cloud application deployment and management. Vanderbilt University, Nashville, TN, USA, Tech. Rep. ISIS-17-105.
9. Canonico, M., & Wufka, M. (2022). Overview of Cloud Computing.
10. Saleh, A., & Karslioglu, M. (2021). Kubernetes in Production Best Practices: Build and manage highly available production-ready Kubernetes clusters. Packt Publishing Ltd.
11. Madsen, T. L., & Cruickshank, D. (2022). Co-innovation platforms: A playbook for enabling innovation and ecosystem growth. Springer Nature.
12. Meng, T. Y., & Wei, N. L. Z. (2021). Cloud Computing Review: Technology and Applications.
13. Waseem, M., Liang, P., & Shahin, M. (2020). A systematic mapping study on microservices architecture in devops. Journal of Systems and Software, 170, 110798.
14. Soundarapandiyan, R., Krishnamoorthy, G., & Paul, D. (2021). The Role of Infrastructure as Code (IaC) in Platform Engineering for Enterprise Cloud Deployments. Journal of Science & Technology, 2(2), 301-344.
15. Bhattacharjee, A. (2020). Algorithms and Techniques for Automated Deployment and Efficient Management of Large-Scale Distributed Data Analytics Services (Doctoral dissertation, Vanderbilt University)
