International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 72 | Issue 10 | Year 2024 | Article Id. IJCTT-V72I10P110 | DOI : https://doi.org/10.14445/22312803/IJCTT-V72I10P110

Cloud Migration Strategies for Mainframe Modernization: A Comparative Study of AWS, Azure, and GCP

Vasanthi Govindaraj

Received Revised Accepted Published
26 Aug 2024 29 Sep 2024 14 Oct 2024 29 Oct 2024

Citation :

Vasanthi Govindaraj, "Cloud Migration Strategies for Mainframe Modernization: A Comparative Study of AWS, Azure, and GCP," International Journal of Computer Trends and Technology (IJCTT), vol. 72, no. 10, pp. 57-65, 2024. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V72I10P110

Abstract

Mainframe systems have a track record of reliability, but they need help in today’s fast-changing business world. These include high upkeep expenses and limited room for growth. This paper looks at three top cloud platforms—Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)—to update old mainframe programs. We compare them in detail, looking at what each does best. AWS has a wide range of tools to move data. Azure works well with cloud and on-site systems and fits into company setups. GCP leads in AI and machine learning. Azure is the top option for updating mainframes, offering compatibility with various cloud configurations, integration with current company infrastructure, and sophisticated data analysis driven by AI. These conclusions provide valuable information for companies transitioning mainframe systems to the cloud, enabling expansion, reduced expenses, and future-ready IT systems.

Keywords

AI in Mainframe Modernization, AWS vs Azure vs GCP for Mainframe, Hybrid Cloud Integration, Cloud-Based Mainframe Solutions, Cloud Migration Strategies, Legacy System Migration, Mainframe Modernization.

References

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