Venugopal Rapelli

Integrative AI-Driven Observability in Hybrid-Cloud SAP Ecosystems: Proactive Anomaly Detection and Self-Healing Infrastructure Using Machine Learning

Abstract:

As enterprises migrate from on-premise monolithic SAP architectures to hybrid-cloud ecosystems such as SAP S/4HANA on AWS or Azure integrated with SAP BTP services, traditional monitoring approaches struggle to keep pace. Legacy tools like SAP Solution Manager rely on static thresholds, for example triggering alerts only when CPU usage reaches 90 percent or when a database table remains locked for five minutes. In distributed cloud environments, such static alerting creates a reactive gap, where system degradation may already be affecting business users before alerts are generated. At the same time, telemetry data from SAP HANA logs, cloud load balancers, database nodes, and microservices significantly increases operational noise, overwhelming administrators. This session explores the shift from monitoring, which indicates when a system has failed, to observability, which explains abnormal behavior before failure occurs. It presents a unified telemetry framework that consolidates logs, metrics, and traces from SAP HANA, CloudWatch, Azure Monitor, and SAP BTP into a centralized data foundation to enable AIOps. The session further introduces a Neural Digital Twin architecture powered by SAP Cloud ALM and Machine Learning agents that continuously model baseline behavior using real-time data such as SQL execution times, RFC latency, and memory cycles. Unlike static dashboards, this adaptive model distinguishes between expected workload peaks, such as Month-End Close processing, and true anomalies. By integrating SAP Joule as a conversational interface, the framework enables faster correlation analysis between transports, infrastructure changes, and performance deviations, supporting proactive detection and self-healing operations in complex hybrid SAP landscapes.   

Profile:

Venugopal Rapelli is a highly accomplished SAP BASIS and HANA Cloud Architect with over 18 years of extensive experience in designing, implementing, upgrading, and supporting large-scale SAP landscapes across global enterprises. He has deep expertise in SAP S/4HANA, ECC, HANA 1.0/2.0, SAP RISE, SAP BTP, SAP Cloud ALM, and hybrid cloud architectures, with hands-on experience across AWS, SAP HEC, and on-premise environments. Venugopal has successfully led complex cloud migration, S/4HANA modernization, and infrastructure transformation initiatives, ensuring high availability, security, and performance for mission-critical systems. His skill set spans SAP HANA administration, SLT and SNP Glue replication, system upgrades, OS/DB migrations, disaster recovery planning, and full-stack observability using tools like AppDynamics and Datadog. He also brings strong expertise in SAP security, compliance, and cybersecurity, including Onapsis vulnerability management and governance automation. Throughout his career at organizations such as HCL Technologies, Vaktech Corporation, Infosys, IBM, and Mettler Toledo, he has consistently delivered value by stabilizing complex SAP landscapes, driving automation, and aligning IT operations with business goals. Known for his proactive approach, technical leadership, and ability to adapt quickly to evolving technologies, Venugopal is recognized as a trusted SAP architect capable of managing end-to-end enterprise SAP ecosystems with precision and excellence.