Abhimanyu Selvan
Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents
#1about 2 minutes
The core challenge of scaling AI agent communication
The speaker introduces the central problem of how to architect communication between thousands of AI agents operating at a global scale.
#2about 2 minutes
Understanding the shift to the agentic era
AI is evolving from reactive systems to an agentic era where software components plan and execute tasks autonomously to achieve high-level goals.
#3about 2 minutes
The core components that define an AI agent
An AI agent is defined by its persona, perception, short and long-term memory, and the tools it can use to perform actions.
#4about 2 minutes
Why event-driven architecture is key for agents
Scaling AI agents presents challenges in state synchronization and observability, making event-driven architecture a necessary paradigm for asynchronous communication.
#5about 2 minutes
Introducing the ride-hailing application demo
A pre-recorded demo showcases an Uber-like application with robo-taxis and users interacting asynchronously, powered by an event-driven backend.
#6about 4 minutes
The system design of the event-driven architecture
The architecture uses Kafka topics for users, taxis, and rides, with an orchestrator agent processing events and a simulator using Mapbox for routing.
#7about 4 minutes
Live demo of the robo-taxi simulation in Berlin
A live demonstration spins up containerized services to simulate users requesting rides and robo-taxis being dispatched in real-time in Berlin.
#8about 2 minutes
The danger of over-engineering with LLMs
A key lesson learned was to avoid unnecessary LLM calls that increase cost and latency, emphasizing the need for observability and pragmatic design.
#9about 3 minutes
Scaling the simulation across multiple cities
The final demo showcases the architecture's scalability by running simultaneous simulations in both Amsterdam and Berlin.
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