Optimizing SAP Migration Strategies to AWS: Best Practices and Lessons Learned

Sachin Bhatt

doi:10.55544/ijrah.1.1.11

Authors

Sachin Bhatt Independent Researcher, USA.

DOI:

https://doi.org/10.55544/ijrah.1.1.11

Keywords:

SAP migration, AWS, cloud optimization, data migration, performance tuning, cost management, security, future trends

Abstract

The following paper aims at discussing the utilization of the SAP migration to AWS in details by pointing out the appropriate tactics, the challenges, and the general performance of the servers. These are AWS services useful in the context of SAP applications such as EC2 and S3, data migration approaches, enhancing SAP performance and general controlling of costs. It also takes care of important aspects like planning and evaluation, picking right migration method, as well as, compliance, security, and regulatory issues. Some of the trend in SAP and AWS integration include Artificial intelligence, the serverless architecture, and SAP in hybrid environments are also covered. The paper thus offers the following strategic interventions for organisations that seek to migrate their SAP environments to AWS seamlessly, and with maximum efficiency.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Balobaid, A., & Debnath, D. (2018). Cloud migration tools: Overview and comparison. In Services–SERVICES 2018: 14th World Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings 14 (pp. 93-106). Springer International Publishing. https://doi.org/10.1007/978-3-319-94472-2_7

Bommadevara, N., Del Miglio, A., & Jansen, S. (2018). Cloud adoption to accelerate IT modernization. McKinsey Digital, 15. https://www.mckinsey.com.br/~/media/McKinsey/Business%20Functions/McKinsey%20Digital/Our%20Insights/Cloud%20adoption%20to%20accelerate%20IT%20modernization/Cloud-adoption-to-accelerate-IT-modernization.pdf

Bounfour, A., Fernandez, V., & Waller, E. (2015). Cloud computing and organisational design: towards a comprehensive research agenda. Systèmes d’information et management, 20(4), 3-10. https://shs.cairn.info/revue-systemes-d-information-et-management-2015-4-page-3?lang=fr

Elmonem, M a. A, Nasr, ES & Geith, MH. (2016). Benefits and challenges of cloud ERP systems – A systematic literature review. Future Computing and Informatics Journal. 1(1–2):1–9. https://doi.org/10.1016/j.fcij.2017.03.003

Gholami, M. F., Daneshgar, F., Low, G., & Beydoun, G. (2016). Cloud migration process—A survey, evaluation framework, and open challenges. Journal of Systems and Software, 120, 31-69. https://www.sciencedirect.com/science/article/abs/pii/S0164121216300966

Gschiel, S. (2018). Supporting architecture evolution in industrial cloud-edge ecosystems (Doctoral dissertation, Wien). https://web.archive.org/web/20220127161155id_/https://repositum.tuwien.at/bitstream/20.500.12708/3470/2/Gschiel%20Stefan%20-%202018%20-%20Supporting%20architecture%20evolution%20in%20industrial...pdf

Gudimetla, S. R. (2016). " Azure in Action: Best Practices for Effective Cloud Migrations. NeuroQuantology, 14(2), 450-455. https://www.researchgate.net/profile/Sandeep-Gudimetla/publication/383458868_Azure_in_Action_Best_Practices_for_Effective_Cloud_Migrations/links/66ce7e1f64f7bf7b19450186/Azure-in-Action-Best-Practices-for-Effective-Cloud-Migrations.pdf

Hintsch, J., Schrödl, H., Scheruhn, H. J., & Turowski, K. (2015). Industrialization in cloud computing with enterprise systems: Order-to-cash automation for SaaS products. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1004&context=wi2015

Issi. (2018, March 26). Migrating to S/4HANA from regular SAP ERP. Retrieved from https://iss-i.ca/2018/02/migrating-to-s-4-hana-from-regular-sap-erp/

Ngnie Sighom, J. R., Zhang, P., & You, L. (2017). Security enhancement for data migration in the cloud. Future Internet, 9(3), 23. https://doi.org/10.3390/fi9030023

Obrutsky, S. (2016, July). Cloud storage: Advantages, disadvantages and enterprise solutions for business. In Conference: EIT New Zealand. https://www.researchgate.net/profile/Santiago-Obrutsky/publication/305508410_Cloud_Storage_Advantages_Disadvantages_and_Enterprise_Solutions_for_Business/links/5792976508ae33e89f7cc136/Cloud-Storage-Advantages-Disadvantages-and-Enterprise-Solutions-for-Business.pdf

Oreste, K. W. (2018). Development and automation of SMEs' model for infrastructure service-migration to cloud (Doctoral dissertation). http://erepository.uonbi.ac.ke/bitstream/handle/11295/104202/CDT599%20P53-85713-2016%20%20DOC.pdf?sequence=1&isAllowed=y

Rochimah, S., & Sheku, A. (2016). Migration of existing or legacy software systems into web service-based architectures (reengineering process): A systematic literature review. International Journal of Computer Applications, 133(3), 43-54. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=6d975c7c5ceb8f3b0b5e1f40a5c3241fddb7ec69

Salapura, V., Mahindru, R., & Harper, R. (2017, April). Business Resiliency Framework for Enterprise Workloads in the Cloud. In International Conference on Cloud Computing and Services Science (Vol. 2, pp. 714-721). SciTePress. https://www.scitepress.org/PublishedPapers/2017/63767/pdf/index.html

Snellman, D. (2017). Difference in Cloud ERP Systems: A comparison. https://www.diva-portal.org/smash/get/diva2:1119432/FULLTEXT01.pdf

Suleman, A. (2018, March 23). The Best Cloud Migration Path: Lift And Shift, Replatform Or Refactor? Forbes. Retrieved from https://www.forbes.com/sites/forbestechcouncil/2018/03/23/the-best-cloud-migration-path-lift-and-shift-replatform-or-refactor/

Ţăranu, I. (2015). Big Data Analytics Platforms analyze from startups to traditional database players. Database Systems Journal, VI (1), 23-32. https://www.dbjournal.ro/archive/19/19.pdf#page=24

Santhosh Palavesh. (2019). The Role of Open Innovation and Crowdsourcing in Generating New Business Ideas and Concepts. International Journal for Research Publication and Seminar, 10(4), 137–147. https://doi.org/10.36676/jrps.v10.i4.1456

Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of Pharma Research, 7(5), 380-387.

Challa, S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of PharmaResearch, 7(5), 380-387.

Dr. Saloni Sharma, & Ritesh Chaturvedi. (2017). Blockchain Technology in Healthcare Billing: Enhancing Transparency and Security. International Journal for Research Publication and Seminar, 10(2), 106–117. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1475

Bhaskar, V. V. S. R., Etikani, P., Shiva, K., Choppadandi, A., & Dave, A. (2019). Building explainable AI systems with federated learning on the cloud. Journal of Cloud Computing and Artificial Intelligence, 16(1), 1–14.

Big Data Analytics using Machine Learning Techniques on Cloud Platforms. (2019). International Journal of Business Management and Visuals, ISSN: 3006-2705, 2(2), 54-58. https://ijbmv.com/index.php/home/article/view/76

Secure Federated Learning Framework for Distributed Ai Model Training in Cloud Environments. (2019). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 7(1), 31-39. https://ijope.com/index.php/home/article/view/145

Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of Pharma Research, 7(5),

Ghavate, N. (2018). An Computer Adaptive Testing Using Rule Based. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 4(I). Retrieved from http://asianssr.org/index.php/ajct/article/view/443

Tripathi, A. (2019). Serverless architecture patterns: Deep dive into event-driven, microservices, and serverless APIs. International Journal of Creative Research Thoughts (IJCRT), 7(3), 234-239. Retrieved from http://www.ijcrt.org

Kanchetti, D., Munirathnam, R., & Thakkar, D. (2019). Innovations in workers compensation: XML shredding for external data integration. Journal of Contemporary Scientific Research, 3(8). ISSN (Online) 2209-0142.

Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, Ravi Kumar Singh, & Harsh Vaidya. (2019). Search and Recommendation Procedure with the Help of Artificial Intelligence. International Journal for Research Publication and Seminar, 10(4), 148–166. https://doi.org/10.36676/jrps.v10.i4.1503

Rinkesh Gajera , "Leveraging Procore for Improved Collaboration and Communication in Multi-Stakeholder Construction Projects", International Journal of Scientific Research in Civil Engineering (IJSRCE), ISSN : 2456-6667, Volume 3, Issue 3, pp.47-51, May-June.2019