AWS Atlas

AWS Graviton-based Amazon EC2 instances provide the best price performance for workloads in Amazon EC2. In this session, dive deep into the AWS Graviton processor and learn about its workload performance, energy efficiency, and software offerings. Learn about common use cases, best practices to optimize your workloads across various applications, customer success stories, and how you can accelerate your AWS Graviton journey. Learn more: More AWS events: https://go.

Follow along as we uncover the powerful forces shaping the future of AI coding. From the emergence of intelligent agents to Model Context Protocol (MCP) servers, we'll explore the latest advancements and real-world use cases that are redefining what's possible for developer productivity and creativity. By the end, you'll feel empowered to embrace the magic of AI, no matter how daunting the technology may seem. Learn More: More AWS events: https://go.

Operational visibility is essential for running AI agents in production. It turns opaque LLM behavior into measurable, improvable workflows. In this session, we’ll walk through building a Strands-based agent, deploying it on Amazon Bedrock AgentCore, and processing telemetry with Datadog LLM Observability. You’ll see end-to-end traces across prompts, tool calls, and multi-agent interactions; improve response quality; tune performance and cost; and apply security and privacy guardrails.

BT is partnering with AWS to create a fully autonomous "Dark NOC" by integrating AI/ML, generative AI, and Agentic AI. Moving from traditional telecom to software-driven operations, BT has implemented GenAI-driven AIOps solutions that reduce costs and improve customer experience. The system uses AWS's agentic AI with autonomous agents and Amazon Sagemaker ML models to enable intelligent monitoring, automated network management, and advanced diagnostics.

Learn how to implement robust access controls for AI agents in modern applications using AWS services. This session covers essential patterns for AI agent authentication and authorization using Amazon Bedrock AgentCore Identity. We'll demonstrate practical architectures that help ensure AI agents operate securely within defined boundaries while maintaining full visibility across your AWS environment. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

Co-founder and CEO Jae Lee shares how TwelveLabs built video intelligence AI foundation models on AWS to process millions of hours at petabyte scale using Amazon S3 and S3 Vectors to store billions of embeddings that provide actionable insights. Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Discover how cutting-edge AI technologies are revolutionizing incident management and dramatically reducing Mean Time to Resolution (MTTR). This session explores how generative AI is transforming operational practices by automatically analyzing telemetry data, identifying patterns, surfacing actionable insights and leveraging AI agents. Learn how modern AI capabilities can convert hours of manual troubleshooting across multiple systems into streamlined investigations resolved in minutes.

Modern applications combine AI agents with traditional software components, creating hybrid systems requiring unified monitoring. This session demonstrates using Amazon CloudWatch to observe your complete application stack—from AI agent decision-making and behavior patterns to traditional infrastructure metrics like CPU and memory usage.

Unlock AI agent potential with this advanced session on scaling tools using Amazon Bedrock AgentCore Gateway. Learn to build and manage secure, production-ready agent tool environments. We'll cover multi-tenant architecture, deployment strategies, and integration patterns for agentic tools. Explore zero-code MCP tool creation with intelligent tool discovery. Gain insights on security controls, monitoring, and performance optimization for enterprise-scale agent tool ecosystems.

Explore Amazon S3 Tables architecture and latest features that improve data lake performance. Learn proven optimization strategies, automated maintenance capabilities, and simplified security controls that reduce operational overhead while scaling efficiently. Discover how Indeed is actively modernizing their data infrastructure through an ambitious migration of 80 petabytes from Hive to S3 Tables, achieving significant performance gains and cost reductions.

Discover how AWS Networking delivers on five critical outcomes: availability, performance, scalability, agility, and cost. Come and learn about continual infrastructure advancements in datacenter technologies, and how we integrate lessons from our GenAI scaling journey. As one of the world's top network device makers, we've applied these innovations to make all workloads - including AI/ML - faster and more reliable.

Behind the promise of AI SRE lies a complex problem: how do you build multi-agent systems that reason across the full production context across code, infrastructure, observability signals, and tribal knowledge, to deliver answers, not just data? In this session, dive into what it takes to architect AI that performs autonomous root cause in minutes and enables intuitive vibe debugging for everyday engineering.