Resilient Microservices Architecture with Embedded AI Observability for Financial Systems
Mahender Singh · Journal of Electrical Systems · 2024
The increasing reliance on microservices architecture (MSA) in financial systems has led to improved scalability, modularity, and fault tolerance. However, due to the distributed nature of microservices, cascading failures pose a significant risk to financial applications, leading to service disruptions and financial losses. This research presents a resilient microservices architecture that integrates AI-driven observability tools to predict and mitigate cascading failures in financial platforms such as Guidewire Cloud. The study explores key principles of microservices design, AI-based observability mechanisms, fault mitigation strategies, and compliance requirements. By embedding AI-powered monitoring, anomaly detection, and automated incident response, financial institutions can achieve enhanced system resilience, ensuring high availability, security, and regulatory compliance.