Just like we tackled microservice observability a decade ago, we're now facing similar challenges with distributed AI agent systems. This session dives into the practicalities of debugging and optimizing complex multi-agent interactions.
We'll trace our journey from a simple event-driven architecture to a system with autonomous agents driving buyer-seller conversations. You'll learn how we addressed critical issues like:

• Latency Spikes: Identifying and resolving performance bottlenecks in inter-agent communication.
• Inter-Agent Communication Tracing: Implementing distributed tracing to visualize and debug message flows.
• Error Propagation: Building robust error handling and fault tolerance in a distributed AI environment.

We'll pull back the curtain on how we tackled observability issues in our chat-based e-commerce platform, showcasing real-life examples of diagnosing performance bottlenecks and communication errors.