Migrating On-Prem Oracle RAC to Cloud-Native Architectures: Bottlenecks and Bottleneck Mitigation

Article Sidebar

PDF
Published: 2025-06-14
DOI: https://doi.org/10.15662/IJRPETM.2025.08030011
Keywords:
Oracle, Bottleneck, Migration, On-Prem, Cloud-Native

Main Article Content

Hari Babu Dama
Database Admin/Architect, Bank of America, Plano, Texas-75024, USA.

Abstract

This paper looks into the challenges of moving on-prem Oracle RAC systems over to cloud-based setups. Key focus areas are things like figuring out which parts of RAC are slow or holding things up, mapping out which cloud services your company uses, looking at which workloads are using the most resources, and coming up with ways to keep services running with no interruption. A pilot migration shows how well the new way of working or living is working. Mitigation approaches and what can be done in the future using Kubernetes and tools that manage systems are also talked about.

Article Details

Issue

Vol. 8 No. 3 (2025): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

Migrating On-Prem Oracle RAC to Cloud-Native Architectures: Bottlenecks and Bottleneck Mitigation. (2025). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(3), 12150-12161. https://doi.org/10.15662/IJRPETM.2025.08030011

References

Nallapareddy, C. (2025). Database Cloud Migration Strategy for a Business-CriticalApplication. Journal of Technology and Systems. 7. 22-32. 10.47941/jts.2635

Yadav, D., & Chhapola, A. (2024). Cloud-Based Oracle Database Migration Strategies for

Large-Scale Enterprises. Integrated Journal for Research in Arts and Humanities, 4(6),561–587. Retrieved from https://www.ijrah.com/index.php/ijrah/article/view/671

Narani, S., Ayyalasomayajula, T., & Chintala, S. (2018). Strategies For Migrating Large,Mission-Critical Database Workloads To The Cloud.

https://www.researchgate.net/publication/384267374_Strategies_For_Migrating_Large_Mission-Critical_Database_Workloads_To_The_Cloud

Madathala, H., & Journal, I. J. E. T. R. M. (2025). OPTIMIZING CLOUD MIGRATION:DESIGNING ROBUST ARCHITECTURES FOR SEAMLESS TRANSITION FROM ON

PREMISES TO AZURE FOR SAP AND DATABASE SYSTEMS. Journal IJETRM.

https://www.academia.edu/127414622/OPTIMIZING_CLOUD_MIGRATION_DESIGNI

NG_ROBUST_ARCHITECTURES_FOR_SEAMLESS_TRANSITION_FROM_ON_PR

EMISES_TO_AZURE_FOR_SAP_AND_DATABASE_SYSTEMS

Räisänen, I. (2025). CLOUD REPATRIATION: FACTORS AND STRATEGIES FORSUCCESFULLY AND BENEFICIALLY LEAVING THE PUBLIC CLOUD.

https://trepo.tuni.fi/bitstream/handle/10024/163891/RaisanenIlari.pdf?sequence=2

Farajirad, F. (2024). Transitioning Data from an On-Premise Solution to a Cloud-BasedPlatform (Master's thesis, University of South-Eastern Norway).(7) (8) (9)

Angelakos, M. (2022). Building a Cloud Computing Program to Improve OperatingEfficiency and Enable Innovation (Doctoral dissertation, Johns Hopkins University).http://jhir.library.jhu.edu/handle/1774.2/67928

Paajanen, R. (2024). of thesis Framework for Seamless Cloud-to-Cloud Service Migration.

https://aaltodoc.aalto.fi/server/api/core/bitstreams/dd7646dd-bfdb-4f51-8f41b958f280f02a/content

Cristofaro, T. (2023). Kube: a cloud ERP system based on microservices and serverlessarchitecture (Doctoral dissertation, http://webthesis.biblio.polito.it/id/eprint/29515 (10) Chidambaram, R. (2022).

https://urn.fi/URN:NBN:fi:amk-2022113025268 Politecnico Roadmap for di Cloud Torino). Optimization.