Production AI Agent Deployment: Scaling, Eval & Cost Control

Deploying an AI Agent is only the beginning—running it reliably, efficiently, and cost-effectively in production is the real challenge. Join this session to learn how to scale AI agents for real-world workloads, evaluate their performance, monitor reliability, and optimize operational costs while maintaining high-quality outputs.
What You'll Learn
•Key challenges of deploying AI agents in production environments •Strategies for scaling agents to handle increasing workloads
•Agent evaluation frameworks, metrics, and benchmarking techniques •Monitoring agent performance, reliability, and user experience
•Cost optimization for LLM inference, tool usage, and infrastructure •Best practices for secure, scalable, and production-ready AI systems