Hybrid and Multi-Cloud Strategies for DevOps

Authors

  • Naresh Lokiny Senior Cloud DevOps Engineer Author

DOI:

https://doi.org/10.15680/IJCTECE.2022.0505006

Keywords:

Hybrid Cloud, Multi-Cloud, DevOps, Cloud Computing, Software Development, Continuous Integration, Continuous Deployment, Scalability, Agility

Abstract

The growing adoption of cloud computing has given rise to hybrid and multi-cloud strategies, essential for modern DevOps practices. This paper explores the integration of hybrid and multi-cloud solutions within the DevOps framework, analyzing their benefits, challenges, methodologies, and real-world applications. Through a comprehensive literature review and case studies, we present a robust understanding of how these strategies enhance agility, scalability, and resilience in software development and operations. The advent of cloud computing has transformed the landscape of DevOps, positioning hybrid and multi-cloud strategies as critical components for modern software development and operations. This paper investigates how these strategies enhance the agility, scalability, and resilience of DevOps practices by leveraging multiple cloud environments. It provides an in-depth analysis through literature review, case studies, and expert insights, highlighting the benefits, challenges, and methodologies associated with hybrid and multi-cloud integrations

References

[1]. Armbrust, M., et al. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.

[2]. Humble, J., & Farley, D. (2010). Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Addison-Wesley.

[3]. Kim, G., Humble, J., Debois, P., & Willis, J. (2016). The DevOps Handbook: How to Create World-Class Agility, Reliability, & Security in Technology Organizations. IT Revolution Press.

[4]. Buyya, R., Vecchiola, C., & Selvi, S. T. (2013). Mastering Cloud Computing: Foundations and Applications Programming. Morgan Kaufmann.

[5]. Pahl, C., Brogi, A., Soldani, J., & Jamshidi, P. (2019). Cloud Container Technologies: A State-of-the-Art Review. IEEE Transactions on Cloud Computing, 7(3), 677-692.

[6]. Dillon, T., Wu, C., & Chang, E. (2010). Cloud computing: issues and challenges. International Journal of Computer Applications, 13(2), 20-26.

[7]. Rimal, B. P., Choi, E., & Lumb, I. (2009). A taxonomy and survey of cloud computing systems. IEEE NCM, 44-51.

[8]. Yahya Al-Dhuraibi, Fawaz Paraiso, Nabil Djarallah, and PhilippeMerle, "Autonomic vertical elasticity of docker containers with elasticdocker," in 2017 IEEE 10th International Conference on CloudComputing (CLOUD), 2017, pp. 472-479.

[9]. Gustavo Sousa, Walter Rudametkin, and Laurence Duchien,"Automated setup of multi-cloud environments for microservicesapplications," in 2016 IEEE 9th International Conference on CloudComputing (CLOUD), 2016, pp. 327-334.

[10]. Simon JE Taylor, Tamas Kiss, Anastasia Anagnostou, GaborTerstyanszky, Peter Kacsuk, Joris Costes, and Nicola Fantini, "TheCloudSME simulation platform and its applications: A genericmulti-cloud platform for developing and executing commercialcloud-based simulations," Future Generation Computer Systems, vol.88,

pp. 524-539, 2018

[11]. T. Dahlberg, “Longitudinal Study on the Expectations of CloudComputing *Benefits and an Integrative Multilevel Model forUnderstanding Cloud Computing Performance,” pp. 4251–4260,2017

[12]. Flouris, I., Manikaki, V., Giatrakos, N., Deligiannakis, A., Garofalakis, M., Mock, M., Bothe, S., Skarbovsky, I., Fournier, F., Stajcer, M. and Krizan, T., 2016, June. Ferari: A prototype forcomplex event processing over streaming multi-cloud platforms. InProceedings of the 2016 International Conference on Management ofData (pp. 2093-2096). ACM.

[13]. Hioual, O. and Hemam, S.M., 2015, November. Cost Minimizationand Load Balancing Issues to Compose Web Services in a MultiCloud Environment. In Proceedings of the International Conferenceon Intelligent Information Processing, Security and AdvancedCommunication (p. 88). ACM.

[14]. Chen, M. and Zadok, E., 2019, May. Kurma: Secure geo-distributedmulti-cloud storage gateways. In Proceedings of the 12th ACMInternational Conference on Systems and Storage (pp. 109-120).ACM.

[15]. Jrad, F., Tao, J. and Streit, A., 2013, April. A broker-based frameworkfor multi-cloud workflows. In Proceedings of the 2013 internationalworkshop on multi-cloud applications and federated clouds (pp.61-68). ACM.

[16]. Baryannis, G., Garefalakis, P., Kritikos, K., Magoutis, K., Papaioannou, A., Plexousakis, D. and Zeginis, C., 2013, AprilLifecycle management of service-based applications on multi-clouds: a research roadmap. In Proceedings of the 2013 internationalworkshop on multi-cloud applications and federated clouds (pp.13-20). ACM.

[17]. Kritikos, K. and Plexousakis, D., 2015, June. Multi-cloud applicationdesign through cloud service composition. In 2015 IEEE 8thInternational Conference on Cloud Computing (pp. 686-693). IEEE.

[18]. Petcu, D., 2013, April. Multi-Cloud: expectations and currentapproaches. In Proceedings of the 2013 international workshop onMulti-cloud applications and federated clouds (pp. 1-6). ACM.

[19]. Rios, E., Iturbe, E. and Palacios, M.C., 2017, August. Self-healingmulti-cloud application modelling. In Proceedings of the 12thinternational conference on availability, reliability and security (p.93).ACM

[20]. H. A. Imran, S. Wazir, A. J. Ikram, A. A. Ikram, H. Ullah and M. Ehsan, "HPC as a Service: A naïve model," 2019 8th InternationalConference on Information and Commu

Downloads

Published

2022-09-10

How to Cite

Hybrid and Multi-Cloud Strategies for DevOps. (2022). International Journal of Computer Technology and Electronics Communication, 5(5), 5771-5775. https://doi.org/10.15680/IJCTECE.2022.0505006