Architecture Best Practices for Databases

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.

To overcome the performance and scale limitations of relational databases, AWS built Amazon DynamoDB to deliver consistent single-digit millisecond performance at any scale for the most demanding applications on the planet. In this session, learn about the architecture choices for Amazon DynamoDB. Gain a better understanding of when to use DynamoDB and why DynamoDB is used by over one million AWS customers, and powers hundreds of applications that exceed half a million requests per second. Leave with a new perspective on how to design your own applications.

Maintaining performance for Amazon Aurora and Amazon RDS often requires manual effort, such as tuning queries, managing indexes, and handling alerts. In this builders' session, learn how to leverage agentic AI solutions implementing LLM-powered autonomous agents to monitor, diagnose, and optimize relational databases in real time. We will demonstrate how AI agents can analyze slow query logs, recommend or apply tuning actions, and trigger intelligent alerts using Amazon Bedrock, Amazon CloudWatch, AWS Lambda, and AWS Systems Manager. You must bring your laptop to participate.