International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Science and Technology | India | Volume 9 Issue 1, January 2020 | Popularity: 5.5 / 10


     

Challenges and Strategies for Optimizing Multi - Cloud Deployments in DevOps

Sumanth Tatineni


Abstract: The technological landscape is rapidly evolving, and organizations are increasingly recognizing the benefits of multi - cloud environments, which allow them to leverage different cloud platforms to meet specific requirements. This shift from a reliance on a single cloud provider underscores the need to embrace the adaptability and flexibility relevant to simultaneous multi - cloud utilization. Within the complexities of multi - cloud environments, effective cost management is key. This necessitates a strategic way to approach costs aligned with the unique needs of every organization. By deploying tools, implementing processes, and continuously monitoring tools, businesses can achieve cost savings while capitalizing on the advantages offered by different cloud providers. Additionally, as multi - cloud adoption becomes common in IT enterprises, the challenges related to managing multi - cloud infrastructure can discourage IT operations. This paper advocates for extending the DevOps approach to multi - cloud environments by emphasizing its potential to support and simplify application development, delivery, and maintenance. While adopting DevOps into a multi - cloud strategy may need compromises, they speed up democratizing development and maintenance work, thus fostering an organization?s competitive advantage. DevOps is an emerging field in IT infrastructure management and cloud automation; it is explored in continuous improvement and optimization. Organizations invest resources in enhancing efficiency, reducing redundancy, and optimizing costs in developing and deploying enterprise applications. Managing multiple environments can be challenging, necessitating continuous monitoring and optimization of operational tasks and improved collaboration across different organizational teams. The migration to the cloud and the prevalence of multiple cloud environments further complicate the management of DevOps in a multi - cloud setting, thus needing mechanisms to address key risks and challenges. It is vital for rapid software development to meet organizational objectives in the competitive landscape, which is highlighted by positioning DevOps as an essential technique. This approach allows enterprises to deliver high - quality software capabilities through automation by enhancing team communication and increasing efficiency across the software product lifestyle. The research problem depicts the shift in organizational workloads towards automation, mainly regarding cloud - based applications to keep up with the demand for new technologies and products. In this trend of multi - cloud deployments, it is important to ensure the security of workloads across diverse cloud platforms to allow organizational focus. While security controls may be uniform, differences in deployment approaches, architecture, tools, and processes bring challenges. The dynamic nature of the cloud further complicates security visibility addressed by Cloud Security Posture Management (CPSM) solutions. These solutions are key in providing visibility as organizations? cloud footprints expand. This comprehensive analysis delves into the complexities of multi - cloud deployments in DevOps, providing insights into the challenges and strategies employed to navigate this landscape.


Keywords: Multi - cloud deployments, DevOps in multi - cloud, optimization, security, cloud migration, cloud - based applications, DevOps strategies, cloud architecture, continuous monitoring


Edition: Volume 9 Issue 1, January 2020


Pages: 1898 - 1904


DOI: https://www.doi.org/10.21275/SR231226170346



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Sumanth Tatineni, "Challenges and Strategies for Optimizing Multi - Cloud Deployments in DevOps", International Journal of Science and Research (IJSR), Volume 9 Issue 1, January 2020, pp. 1898-1904, URL: https://www.ijsr.net/getabstract.php?paperid=SR231226170346, DOI: https://www.doi.org/10.21275/SR231226170346



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