Architecture Best Practices for Serverless

Explore how agentic AI is transforming cloud-native application architecture, unlocking faster innovation cycles and entirely new application patterns. Learn how new AWS capabilities empower builders to design secure, reasoning-driven agents that orchestrate data, code, and tools at scale, with an emphasis on governance, reliability, and cost efficiency. Discover how AWS customers are deploying production-ready agents today, and learn best practices to help you architect agentic applications that autonomously adapt, optimize, and act in real-time.

Experience the future of application development as we demonstrate how to transform a simple prompt into a fully functional serverless application. Watch live coding that showcases how to combine Amazon Q with AWS serverless services using MCP servers to create dynamic, scalable solutions. This session will demonstrate practical implementation techniques, architectural best practices, and how to accelerate development while maintaining production-ready quality.

Discover how to architect scalable, production-ready agentic AI applications on AWS that deliver autonomous, multi-agent solutions for complex business challenges. Many organizations struggle with designing AI agents for real-world complexity, from managing context effectively to ensuring secure, scalable deployments. This session covers proven architectural patterns for single and multi-agent systems, applying monolith-to-microservices principles and domain-driven design to avoid common pitfalls. You'll explore practical implementations using Amazon API Gateway, AWS Lambda, AWS Fargate, and Amazon Bedrock AgentCore Runtime with security best practices. Join us to transform your agentic AI understanding from experimental prototypes to production-ready systems.