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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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On-Premises to Cloud Migration: A Multi-Tenant Enterprise Transformation Study

Authors: Pankaj Joshi;

On-Premises to Cloud Migration: A Multi-Tenant Enterprise Transformation Study

Abstract

This research examines the critical transformation from monolithic on-premises systems to cloud-native multi-tenant architectures. Through analysis of enterprise migration patterns and multi-tenant implementation strategies, we investigate the technical, operational, and organizational challenges faced during cloud transformation initiatives. Our study reveals that 85% of enterprises now utilize microservices architecture, with 70% adopting cloud-native approaches by 2019, representing a fundamental shift in enterprise software deployment paradigms. The research identifies key success factors including configuration management strategies, deployment model evolution from "pets" to "cattle" approaches, and multi-tenant isolation mechanisms. Critical findings indicate that successful cloud migrations require systematic approaches encompassing containerization, orchestration, and robust configuration management systems. The study demonstrates that multi-tenant architecture provides significant cost optimization benefits, with shared infrastructure utilization improving by 60-70% compared to single-tenant deployments.

Keywords

Cloud migration, microservices, enterprise architecture, configuration management, multi-tenancy

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green