Graph-Based AI System for Real-Time Detection and Rollback of Performance Regressions in Software Deployments

This paper presents a Graph-Based AI System leveraging Graph Neural Networks (GNNs) for real-time detection and rollback of performance regressions in software deployments. By modeling microservices and their interdependencies as dynamic temporal graphs, this system detects anomalies in real time and initiates automated rollback procedures. The integration with CI/CD pipelines and orchestration platforms like Kubernetes ensures scalability and rapid recovery, making it a transformative approach for maintaining software reliability.