INTEGRATING CLOUD-NATIVE APM IN SAP BTP/CPI WITH AI-DRIVEN EVENT PROCESSING AND GENERATIVE AI FOR AUTOMATED CODE GENERATION: A FRAMEWORK FOR INTELLIGENT ENTERPRISE SYSTEM INTERCONNECTIVITY
Abstract Operationally effective organizations in current complex enterprise IT situations heavily depend on streamlined system integration practices together with automated systems. The proposed solution introduces a modern framework which combines cloud-native Application Performance Management controls with SAP Business Technology Platform and Cloud Platform Integration tools through integration of AI event processing systems and auto-code generation from generative AI technologies. The architecture solution allows real-time system checking and predictive issue resolution as well as automatic development of integration process logic between different SAP systems and external systems. Through machine learning-operated event pipelines the system detects anomalous patterns while linking information between various system networks before automatically releasing sequenced responses that need no human involvement. The integration process benefits from GPT-based systems and SAP Joule to create dynamic integration scripts as well as connectors which boost development pace while reducing error frequency. The examined integration data reveals that development performance reaches 70% faster speeds and system processing speeds drop by 60% along with downtime decreasing by 73%. The accomplishment shows that AI together with cloud-native technologies provides substantial potential when used in enterprise integration approaches. The study Helps advance smart automation understanding in SAP environments to establish bases for innovative autonomous business administration methods.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-05
- DOI
- https://doi.org/10.5281/zenodo.15341948
- Primary Topic
- Software System Performance and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00