Agentic AI for Java Microservices: Cloud Performance Optimization at FinTech Scale

Modern enterprise Java systems handle millions of financial transactions every day. Yet scaling them reliably and cost-effectively in the cloud is a constant challenge. This session introduces Agentic AI for Java microservices, an approach that integrates autonomous agents directly into your architecture to achieve self-optimization, predictive scaling, and real-time performance tuning. Drawing on my experience in FinTech and cloud-native systems, I will share architecture patterns, code examples, and lessons learned from building high-volume transaction platforms. Attendees will learn how to evolve from traditional auto-scaling to AI-driven self-optimization and leave with a practical roadmap for implementing these techniques in their own Java applications.