Autonomous agents are reshaping enterprise operations, but scaling them isn’t just about smarter AI—it’s about better infrastructure. Agents need real-time data, seamless tool integration, and shared outputs across systems. Rigid request/response models create bottlenecks, while event-driven architecture (EDA) unlocks the flexibility and scalability agents require. This session will show how EDA enables autonomous agents to thrive. Key takeaways include:

• How EDA enables real-time, adaptive agent workflows and multi-agent problem solving.
• Key design patterns like Orchestrator-Worker, Multi-Agent Collaboration, and Market-Based Competition.
• Strategies for leveraging Kafka to handle scalability, fault tolerance, and low latency.
• Lessons from microservices evolution to solve interoperability and context-sharing challenges.

This talk is for engineers and architects building scalable AI systems. You’ll leave with actionable insights to design resilient, event-driven agents and future-proof your infrastructure for enterprise-scale AI.