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.
Related jobs
Jobs that call for the skills explored in this talk.
Wilken GmbH
Ulm, Germany
Senior
Kubernetes
AI Frameworks
+3
ROSEN Technology and Research Center GmbH
Osnabrück, Germany
Senior
TypeScript
React
+3
Matching moments
06:28 MIN
Using AI agents to modernize legacy COBOL systems
Devs vs. Marketers, COBOL and Copilot, Make Live Coding Easy and more - The Best of LIVE 2025 - Part 3
09:10 MIN
How AI is changing the freelance developer experience
WeAreDevelopers LIVE – AI, Freelancing, Keeping Up with Tech and More
03:28 MIN
Why corporate AI adoption lags behind the hype
What 2025 Taught Us: A Year-End Special with Hung Lee
03:15 MIN
The future of recruiting beyond talent acquisition
What 2025 Taught Us: A Year-End Special with Hung Lee
06:33 MIN
The security challenges of building AI browser agents
AI in the Open and in Browsers - Tarek Ziadé
03:07 MIN
Final advice for developers adapting to AI
WeAreDevelopers LIVE – AI, Freelancing, Keeping Up with Tech and More
04:28 MIN
Building an open source community around AI models
AI in the Open and in Browsers - Tarek Ziadé
04:06 MIN
Using AI to enable human connection in recruiting
Retention Over Attraction: A New Employer Branding Mindset
Featured Partners
Related Videos
Agents for the Sake of Happiness
Thomas Dohmke
Beyond Chatbots: How to build Agentic AI systems
Philipp Schmid
On a Secret Mission: Developing AI Agents
Jörg Neumann
Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure
Ricardo
Agentic AI Systems for Critical Workloads
Mario Fusco
AX is the only Experience that Matters
Ivan Burazin
Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact
Oliver Will
Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP
Viktoria Semaan
Related Articles
View all articles



From learning to earning
Jobs that call for the skills explored in this talk.



autonomous-teaming
München, Germany
Remote
API
React
Python
TypeScript

Zendesk
Berlin, Germany
Remote
API
Python
FastAPI
Machine Learning
+1



INTENT HQ
Barcelona, Spain
TypeScript
Amazon Web Services (AWS)

