Architecture Best Practices for IoT

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.

Connected vehicle platforms demonstrate how cell-based architectures solve challenges of massive device access, data surges, and latency-sensitive workloads. Learn how this architectural pattern extends beyond automotive to transform smart cameras, monitoring systems, solar management, and SaaS platforms. Through practical examples using AWS IoT Core, Amazon MSK, Amazon EKS with Graviton, Amazon Aurora, and Amazon MemoryDB for Redis, discover how to implement fault isolation, scalable deployments, and localized edge services. This session provides architectural patterns for building resilient connected systems that maintain performance at scale across diverse industries.

Participants will explore how to build intelligent, agent-driven smart home experiences using industry-standard Generative AI frameworks and managed integrations for AWS IoT Device Management. You'll learn step-by-step how to integrate IoT devices, real-time databases, and multimodal AI capabilities into seamless, responsive home automation systems. Workshop Objectives: Understand Generative AI concepts and how they apply to smart home ecosystems, learn to deploy intelligent agents capable of reasoning and autonomous action, leverage AWS services, such as Amazon Rekognition, and create an integrated architecture combining loT data, Generative AI and user intrations.