Ankit Kumar Gupta1 & Prof. (Dr) Punit Goel2
1Uttar Pradesh Technical University, Lucknow, Uttar Pradesh, India ankitgupta.usa24@gmail.com
2Maharaja Agrasen Himalayan Garhwal University, Uttarakhand, drkumarpunitgoel@gmail.com
Abstract
High availability (HA) and disaster recovery (DR) are critical components for ensuring uninterrupted business operations in large SAP enterprise environments. As organizations increasingly rely on SAP systems to manage core business processes, any downtime or data loss can have significant financial and operational implications. This paper explores advanced strategies to achieve robust HA and DR capabilities tailored to the complex needs of large SAP enterprise clients.
The study highlights best practices in designing resilient SAP landscapes, including clustering, replication, and cloud-based solutions, which ensure near-zero downtime and rapid recovery. It evaluates traditional on-premises approaches alongside hybrid and cloud-native architectures, considering their scalability, cost-efficiency, and reliability. Key technologies such as SAP HANA System Replication, disaster recovery as a service (DRaaS), and cross-region deployment in hyperscaler environments are examined for their effectiveness in minimizing risks associated with hardware failures, cyberattacks, and natural disasters.
The paper also emphasizes the importance of proactive planning, including regular testing of DR plans, implementing backup solutions, and adhering to compliance requirements. The integration of artificial intelligence (AI) and predictive analytics is discussed as an emerging trend to enhance real-time monitoring and optimize recovery operations.
By addressing the unique challenges of large-scale SAP deployments, this research provides actionable insights to IT leaders and architects seeking to align business continuity strategies with enterprise goals. The proposed approaches aim to ensure high service availability, data integrity, and operational resilience in dynamic and demanding enterprise environments.
Keywords
High availability, disaster recovery, SAP enterprise, business continuity, system resilience, SAP HANA replication, cloud-based solutions, DRaaS, real-time monitoring, operational resilience, predictive analytics, cross-region deployment, compliance, backup strategies, IT architecture.
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- Ramalingam, Balachandar, Ashvini Byri, Ashish Kumar, Satendra Pal Singh, Om Goel, and Punit Goel. Achieving Operational Excellence through PLM Driven Smart Manufacturing. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(6):47.
- Ramalingam, Balachandar, Archit Joshi, Indra Reddy Mallela, Satendra Pal Singh, Shalu Jain, and Om Goel. Implementing AR/VR Technologies in Product Configurations for Improved Customer Experience. International Journal of Worldwide Engineering Research 2(7):35–50.
- Bhat, Smita Raghavendra, Rakesh Jena, Rajas Paresh Kshirsagar, Om Goel, Arpit Jain, and Punit Goel. “Developing Fraud Detection Models with Ensemble Techniques in Finance.” International Journal of Research in Modern Engineering and Emerging Technology 12(5):35.
- Bhat, S. R., Ayyagari, A., & Pagidi, R. K. “Time Series Forecasting Models for Energy Load Prediction.” Journal of Quantum Science and Technology (JQST) 1(3), Aug(37–52).
- Abdul, Rafa, Arth Dave, Rahul Arulkumaran, Om Goel, Lalit Kumar, and Arpit Jain. “Impact of Cloud-Based PLM Systems on Modern Manufacturing Engineering.” International Journal of Research in Modern Engineering and Emerging Technology 12(5):53.
- Abdul, R., Khan, I., Vadlamani, S., Kumar, D. L., Goel, P. (Dr.) P., & Khair, M. A. “Integrated Solutions for Power and Cooling Asset Management through Oracle PLM.” Journal of Quantum Science and Technology (JQST) 1(3), Aug(53–69).
- Siddagoni Bikshapathi, Mahaveer, Ashish Kumar, Murali Mohana Krishna Dandu, Punit Goel, Arpit Jain, and Aman Shrivastav. “Implementation of ACPI Protocols for Windows on ARM Systems Using I2C SMBus.” International Journal of Research in Modern Engineering and Emerging Technology 12(5):68-78.
- Bikshapathi, M. S., Dave, A., Arulkumaran, R., Goel, O., Kumar, D. L., & Jain, P. A. “Optimizing Thermal Printer Performance with On-Time RTOS for Industrial Applications.” Journal of Quantum Science and Technology (JQST) 1(3), Aug(70–85).
- Rajesh Tirupathi, Abhijeet Bajaj, Priyank Mohan, Prof.(Dr) Punit Goel, Dr Satendra Pal Singh, & Prof.(Dr.) Arpit Jain. Optimizing SAP Project Systems (PS) for Agile Project Management. Darpan International Research Analysis, 12(3), 978–1006. https://doi.org/10.36676/dira.v12.i3.138
- Tirupathi, R., Ramachandran, R., Khan, I., Goel, O., Jain, P. A., & Kumar, D. L. Leveraging Machine Learning for Predictive Maintenance in SAP Plant Maintenance (PM). Journal of Quantum Science and Technology (JQST), 1(2), 18–55. Retrieved from https://jqst.org/index.php/j/article/view/7