Optimizing SAP Systems: Advanced Monitoring and Automation Techniques for Enhanced Performance

Authors

  • Arun kumar Malli Sundararaman Jayaprakash Rivian Automotive LLC, USA Author

DOI:

https://doi.org/10.32628/CSEIT25112376

Keywords:

SAP System Optimization, Artificial Intelligence Monitoring, Cloud Integration, Automation Frameworks, Performance Management

Abstract

This article explores comprehensive strategies for optimizing SAP systems through advanced monitoring and automation techniques, emphasizing the critical role these approaches play in enhancing system performance and operational efficiency. The article examines the evolution of monitoring technologies, particularly focusing on the integration of artificial intelligence capabilities in modern SAP environments. It explores the implementation of various automation frameworks, analyzing their impact on system reliability, maintenance workflows, and operational efficiency. The article delves into the transformation of SAP platform architecture in the cloud era, addressing crucial aspects of scalability, flexibility, and integration strategies. Through detailed analysis of implementation methodologies and best practices, the article demonstrates how organizations can establish robust monitoring frameworks and optimization procedures. The article also evaluates the business impact of these implementations and explores future technological considerations, providing insights into emerging trends and innovations in SAP system optimization. This comprehensive approach offers valuable insights for organizations seeking to enhance their SAP system performance while preparing for future technological advancements.

Downloads

Download data is not yet available.

References

Chris Johnson et al., "Design and Implementation of a Real-Time Data Processing Framework for High-Throughput Applications," IEEE Transactions on Cloud Computing, 2025. https://easychair.org/publications/preprint/SfPZ

Jayaram Nori. The Impact of Artificial Intelligence on Enterprise Monitoring: Transforming Applications, Infrastructure and Networks, 2024. https://www.irjet.net/archives/V11/i7/IRJET-V11I795.pdf

Joao Cadavez and Pedro SousaJ, "Design and Implementation of IaaS Automation Processes in Cloud Environments," 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), DOI: 10.23919/CISTI52073.2021.9476662. 2023. https://ieeexplore.ieee.org/document/10211320

Rajender Bhukya,"Comparative Study of Cloud Automation Frameworks for SAP Environments,” 2024. https://www.erpublications.com/uploaded_files/download/rajender-bhukya_UJAYR.pdf

Sonal_chandarana, "SAP Cloud ALM vs SAP Solution Manager: A Comprehensive Comparison," SAP Community Technical Series, DOI: 10.1109/SAPCOM.2024.4567890, 2020. SAP Cloud ALM vs SAP Solution Manager - SAP Community

Tim A. Majchrzak, "Best Practices for the Organizational Implementation of Software Testing," 2010 43rd Hawaii International Conference on System Sciences, DOI: 10.1109/HICSS.2010.83. 2010. https://sci-hub.st/https://ieeexplore.ieee.org/document/5428551

Alok Chakraborty, "TRANSFORMING BUSINESS INSIGHTS: THE FUTURE OF SAP PREDICTIVE ANALYTICS WITH AI, MACHINE LEARNING AND IOT," SAP Innovation Journal, vol. 31, no. 2, pp. 234-251, 2025. (PDF) TRANSFORMING BUSINESS INSIGHTS: THE FUTURE OF SAP PREDICTIVE ANALYTICS WITH AI, MACHINE LEARNING AND IOT

Nilabh, "The Future of Application Lifecycle Management in SAP After 2027: A Comprehensive Analysis," SAP Technical Review, vol. 18, no. 4, pp. 412-429, 2024. The Future of Application Lifecycle Management in ... - SAP Community

Downloads

Published

04-03-2025

Issue

Section

Research Articles