Build Production Multi-Agent Systems on AWS (The Right Way)

Building a single AI agent with a prompt is easy—getting multiple AI agents to coordinate reliably in production without timeouts, race conditions, or massive compute waste is the real engineering challenge. In this video, we break down how to architect production-ready Multi-Agent Systems on AWS Serverless, comparing the two core coordination patterns: Choreography (Event-Driven with Amazon EventBridge) vs. Orchestration (Centralized Workflows with AWS Step Functions). We also dive deep into what actually makes a Lambda function "agentic" using Amazon Bedrock, persistent session memory (S3), and tools (Strands SDK). 🚀 Key Takeaways: • Routing vs. Execution: EventBridge handles dumb, lightning-fast pattern matching; Lambda executes the LLM reasoning loop. • Overcoming Stateless Lambdas: How S3SessionManager persists conversational history & tool outputs across ephemeral invocations. • The Synchronization Barrier: Why Step Functions is often cleaner for "Join/Wait" operations compared to multi-event S3 polling in Choreography. • Bounded Contexts: Orchestrate within a domain (transactional, Saga patterns); Choreograph across domains (decoupled business events). --- 📚 Resources & References: • AWS Prescriptive Guidance: Modernizing Microservices with Choreography & Orchestration • AWS Architecture Blog: Let’s Architect! Serverless Architecture on AWS • AWS Well-Architected Framework: Serverless Applications Lens • Strands SDK: Building Python AI Agents on AWS Serverless --- 💬 Let’s Connect: 👩‍💻 Eshika | AI/ML Engineer | Speaker | Community Builder 📸 Instagram: eshika.with.an.e Linkedin : eshikamahajan 🔔 Subscribe for more deep-dives into AI Engineering, AWS Serverless, and Cloud Architecture! #AIEngineering #AWS #Serverless #GenerativeAI #Bedrock #EventBridge #StepFunctions #MultiAgentSystems #SoftwareArchitecture