Architecting Resilient SAP Hana Systems: A Framework for Implementation, Performance Optimization, and Lifecycle Maintenance

Authors

  • Arunkumar Pasumarthi Technical Specialist, HCL America, USA Author

DOI:

https://doi.org/10.15662/IJRAI.2022.0506007

Keywords:

Resilient SAP HANA systems, High availability, Performance tuning, Lifecycle maintenance, SAP HANA deployment

Abstract

The robustness of mission-critical database platforms has become a key issue of concern to the enterprises that rely on constant availability of transactional and analytical data to run their day-to-day operations. Not only does SAP HANA as the most popular in-memory enterprise resource planning and real-time analytics platform need to have high performance, but also fault tolerance, scalability, and predictable lifecycle management. With such a dramatic change in the business IT infrastructure, organizations are still struggling with the very thorny issues of downtime, performance loss and complex upgrade processes, which kill the continuity of the business and elevates operational risk. The losses incurred in the event of down time in both financial and reputational terms have increased the need to have frameworks that inculcate resiliency to all phases of the deployment and governance of SAP HANA. This paper formulates an evidence-based approach to designing resilient SAP HANA systems combining implementation procedures, performance optimization approaches, and lifecycle maintenance. Based solely on the vendor documentation, technical notes and best-practice reports, which were published in December 2022, the framework proposes to pull together the fragmented guidance and condense it into a roadmap of resilience. The approach puts a strong focus on pre-deployment testing and certified platform testing, wherein operating system, database and virtualization compatibility matrices are used to protect against unsupported configuration. The migration pathways, i.e. phased, near-zero-downtime pathways are analyzed against their effects on service level agreements and exposure to risk. This research has a contribution to the fact that it has consolidated resilience strategies to a prescriptive and practical model that fits with the realities of enterprise IT landscapes. It synthesizes deployment rigor, tuning precision and governance continuity and thus forms a roadmap that does not just provide greater technical resilience but also augurs business requirements of continuity, compliance and optimization of performance. The results are an addition to the academic literature on the topic of enterprise database resilience, as well as a practical guide to IT leaders, architects, and administrators who must ensure the safety of mission-critical SAP HANA infrastructures.

References

1. Al-Allawee, A. (2022). A performance evaluation of in-memory databases. Computing. https://www.mdpi.com/journal/computing

2. Automatic Error Classification and Root Cause Determination while Replaying Recorded Workload Data at SAP HANA. (2022, May). arXiv. https://doi.org/10.48550/arXiv.2205.08029

3. Färber, F., May, N., Lehner, W., Große, P., Müller, I., Rauhe, H., & Dees, J. (2012). The SAP HANA database — an architecture overview. IEEE Data Engineering Bulletin, 35(1), 28–33.

4. Detector: Identifying duplicate crash failures in large-scale systems. (2022). arXiv. https://doi.org/10.48550/arXiv.2205.15972

5. Mendonça, J. P. (2019). Disaster recovery solutions for IT systems: A systematic review. Journal of Systems Architecture.

6. near-Zero Downtime Maintenance (nZDM/SUM). (2022). SAP Help Portal. https://help.sap.com/docs/SLTOOLSET/32ace2142a344dd4a161ba1b765d50e5/4fbda45143b5a04fe10000000a44538d.html

7. Plattner, H. (2009). A common database approach for OLTP and OLAP using an in-memory column database. In SIGMOD Proceedings. https://doi.org/10.1145/1559845.1559846

8. Plattner, H., & Zeier, A. (2014). In-Memory Data Management: Technology and Applications. Springer. https://doi.org/10.1007/978-3-642-29575-1

9. Harikrishna Madathala, Balamuralikrishnan Anbalagan, Balaji Barmavat, Prakash Krupa Karey, "SAP S/4HANA Implementation: Reducing Errors and Optimizing Configuration", International Journal of Science and Research (IJSR), Volume 5 Issue 10, October 2016, pp. 1997-2007, https://www.ijsr.net/getabstract.php?paperid=SR241008091409, DOI: https://www.doi.org/10.21275/SR241008091409SAP Developer News — December 2022. (2022, December). SAP. https://www.sap.com/documents/2022/12/58fe20f0-557e-0010-bca6-c68f7e60039b.html

10. SAP HANA Cloud release for December 2022 roundup. (2022). SAP Community. https://community.sap.com/t5/technology-blog-posts-by-sap/sap-hana-cloud-release-for-december-2022-roundup/ba-p/13550763

11. SAP Help — SAP HANA lifecycle management. (n.d.). SAP. https://help.sap.com/docs/SAP_HANA_ONE/1c837b3899834ddcbae140cc3e7c7bdd/9ca0f83b34fe422c807662121328ea45.html

12. Harikrishna Madathala and BalamuralikrishnanAnbalagan, "SAP Data Migration For LargeEnterprises: Improving Efficiency in ComplexEnvironments," Webology, vol. 12, no. 2, 2015.[Online]. Available:https://www.webology.org/data-cms/articles/20241008014927pmWEBOLOGY%2015%20(2)%20-%2029.pdf

13. SAP S/4HANA 2022: What’s new (October 2022). (2022, October 12). SAP Help Portal (PDF). https://help.sap.com/doc/b870b6ebcd2e4b5890f16f4b06827064/2022.000/en-US/WN_OP2022_EN.pdf

14. Harikrishna Madathala, Balaji Barmavat, Krupa Satya Prakash Karey, Balamuralikrishnan, "AI-Driven Cost Optimization in SAP Cloud Environments: A Technical Research Paper", International Journal of Science and Research (IJSR), Volume 11 Issue 4, April 2022, pp. 1404-1412, https://www.ijsr.net/getabstract.php?paperid=SR241017125233, DOI: https://www.doi.org/10.21275/SR241017125233

15. Sikka, V., Färber, F., Lehner, W., Cha, S. K., Peh, T., & Bornhövd, C. (2012). Efficient transaction processing in SAP HANA database: The end of a column-store myth. In SIGMOD Proceedings (pp. 731–741). https://doi.org/10.1145/2213836.2213946

16. Somasekaram, P., et al. (2021). High-availability clusters: taxonomy, survey and future directions. Journal of Systems/ACM Journal

17. Sudhir, S., Cafarella, M., & Madden, S. (2021). Replicated layout for in-memory database systems. Proceedings of the VLDB Endowment, 15(4), 984–997. https://doi.org/10.14778/3503585.3503606

18. Technical details on S/4HANA ZDO (Zero Downtime upgrades). (2022, December 26). SAP Community Blog. https://community.sap.com/t5/enterprise-resource-planning-blog-posts-by-members/technical-details-on-s-4hana-zdo-zero-downtime-upgrades-updates/ba-p/13558699

19. Wagle, M., et al. (2015). Scalable NUMA-aware memory allocations with in-memory databases.

Downloads

Published

2022-11-09

How to Cite

Architecting Resilient SAP Hana Systems: A Framework for Implementation, Performance Optimization, and Lifecycle Maintenance. (2022). International Journal of Research and Applied Innovations, 5(6), 7994-8003. https://doi.org/10.15662/IJRAI.2022.0506007