AWS Atlas

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.

Enterprise analytics platforms are undergoing a major transformation—from centralized, overloaded data warehouses to federated, governed, GenAI-ready multi-warehouse architectures. In this session, you’ll learn how to design your data warehouse architecture to scale with your business needs. We’ll explore the end-to-end architectural evolution from a monolithic Redshift cluster to a modern multi-warehouse architecture and the best practices to deploy them in a cost-effective manner.

Enterprises use Apache Kafka and Apache Flink for an increasing number of mission-critical use-cases, real-time analytics, application messaging, and machine learning. As this usage grows in size and scale, so does the criticality, scale, and cost of managing the Kafka and Flink clusters.

Want to learn how Amazon S3, one of the world's largest distributed systems, manages software deployments at scale? This session reveals practical insights into our deployment tools, feature flag strategies, and progressive rollout techniques that enable reliable updates at massive scale. We'll share real-world lessons learned from critical deployments, including how we handle rollbacks, manage dependencies, and monitor service health during updates.

Join us to learn about Apache Iceberg Version 3 (V3) and how it addresses critical challenges in modern data lakes. In this session, we'll explore how V3's variant data type, deletion vectors and row lineage capabilities help organizations reduce storage costs, accelerate data operations, and maintain comprehensive audit trails at petabyte scale. We'll also look ahead to what's coming in Apache Iceberg V4.

Amazon Route 53 Global Resolver is a new service providing global anycast and secure DNS resolution for on-premises, branch office, and remote clients. Learn how to enable Global Resolver for split-traffic query resolution of public internet domains and private AWS-hosted domains, optimizing for low latency based on client location. Discover security controls protecting against DNS exfiltration attacks and enhance query privacy through DNS-over-HTTPs/DNS-over-TLS protocols.

AWS provides one place where you can plan work, collaborate on code, and build, test, and deploy applications with continuous integration and continuous delivery (CI/CD) tools. In this session, learn about creating complete CI/CD pipelines using infrastructure as code on AWS. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Marketing teams require AI agents capable of orchestrating complex campaigns with enterprise controls. This session explores Epsilon's production-ready multi-agent system built with Amazon Bedrock AgentCore for intelligent marketing campaigns. Learn to implement secure agent collaboration using AgentCore Runtime for parallel execution, Gateway for controlled data access, and Identity for granular permissions.

In this Code Talk, we'll explore advanced techniques for extracting optimal performance from Amazon EC2 instances through hands-on demonstrations and real-world examples. Watch as we implement systematic workload analysis using native AWS tools including CloudWatch and APerf, showing you how to measure and interpret key performance indicators across instance types.

Existing SaaS providers must determine how and where agents best fit into their offerings. Getting there requires organizations to transform existing IP and functionality into agent-powered experiences. This breakout will dig into the details of this transformation, examining the patterns, strategies, and techniques that can be used to introduce agents into an existing multi-tenant system.

Learn how Amazon SageMaker AI transforms model development with a unified environment for all your AI workloads - from interactive model development on IDEs to maximizing task and compute resource utilization across training and inference workloads. We'll demonstrate how to use SageMaker Studio as the familiar IDE to develop, submit, and monitor ML jobs, while leveraging the scalability and resiliency of HyperPod environment for computationally intensive tasks like training and deploying large...

Learn how WRITER is working with AWS to empower businesses and transform work at scale with agentic workflows powered by WRITER’s Palmyra X5 model and integration with Amazon Bedrock for improved governance and security. Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.