AWS Atlas

Kubernetes has become a standard way for organizations looking to modernize their application portfolios. AWS developed Amazon EKS to make Kubernetes more accessible to organizations of all sizes, helping them focus on what matters most for their businesses. In this session, join Amazon EKS product leadership to learn about the latest innovations and strategies for building Kubernetes platforms and applications faster.

AWS DevOps Agent (preview) is a frontier agent that resolves and proactively prevents incidents, continuously improving reliability and performance. AWS DevOps Agent investigates incidents and identifies operational improvements as an experienced DevOps engineer would: by learning your resources and their relationships; working with your observability tools, runbooks, code repositories, and CI/CD pipelines; and correlating telemetry, code, and deployment data across all of them to understand...

Explore the world of LLM Agents, their enterprise applications, and learn to configure your first agent.

The AI-Driven Development Life Cycle (AI-DLC) represents a transformative approach to software engineering that positions AI as a central collaborator throughout the development process. Unlike traditional AI-assisted development methods, AI-DLC reimagines the entire software lifecycle through two key dimensions: AI-powered execution with human oversight and dynamic team collaboration.

In this video, Mike shows you how to take any AI agent and deploy it securely at enterprise scale using Amazon Bedrock AgentCore. So if you're using CrewAI, LangChain, Strands, or your framework of choice, there's no infrastructure headaches - just production-grade agents that scale. What we'll cover: ✅ Deploying to AgentCore Runtime ✅ Adding managed memory ✅ Integrating secure code execution ✅ Monitoring your agent in production 🚀 Get started with the code: • https://builder.aws.

During her 2025 keynote, Amy Herzog, AWS CISO, shows how AWS is simplifying security at scale. Through customer examples and architectural patterns, she will showcase how AWS enables you to build inherently resilient applications that can withstand modern threats and scale with your business. Learn how to harness AWS security capabilities and security best practices to build a robust security strategy that works for your business.

In this session, we will walk through the architecture for the Amazon DynamoDB DNS management system that triggered the service disruption on October 20, 2025. We will share the lessons that the DynamoDB team learned from this event and explain how we are using these insights to improve both DynamoDB and AWS. You will walk away with actionable knowledge that you can apply to the systems you build. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

In this episode of “AWS Show and Tell”, learn how to securely launch and scale your agents and tools on Amazon Bedrock AgentCore Runtime. You will learn about enterprise ready features of AgentCore runtime such as the ability to use any Agentic framework, Session level isolation, Async and long running agents or tools, support for MCP servers, working with large and multi-modal payloads, all while paying only for the resources you use. - Amazon Bedrock AgentCore samples: https://github.

Traditional AI coding assistants often struggle with complex project requirements. This talk introduces Kiro, an AI IDE that implements spec-driven development to address these challenges. Kiro guides users through a comprehensive process from requirements gathering through design and task implementation, all before generating code.

What can AI Agents do for you? Join us live on Twitch.tv on July 8th, 2025 @ 2pm Pacific / 5pm Eastern to learn how to Build AI Agents on Amazon Bedrock! Our host Jay Busch (Sr. Technical Account Manager) will be joined by Abhishek Sharma (Sr. Cloud Support Engineer) to walk you through how to leverage the power of AI Agents to build powerful apps on Amazon Bedrock. Come build with us!

In this episode of "AWS Show and Tell", discover how to revolutionize your enterprise AI agent development with Amazon Bedrock AgentCore Gateway. Learn how to centralize and simplify tool management while maintaining enterprise-grade security. We'll demonstrate Gateway's key capabilities including zero-code MCP tool creation from existing APIs, intelligent tool discovery with semantic search, and comprehensive security controls with dual-sided authentication.

Learn how to build and deploy AI agents to production using AWS Bedrock Agent Core and Strands Agents. Using Kiro for development, follow along as we demonstrate agent building, chain-of-thought prompting, and production deployment best practices. Explore Amazon Bedrock Agents 👉 https://go.aws/47NHsvZ Resources: Strands Agents: https://go.aws/4ofh1oN AWS Bedrock Agent Core: https://go.aws/43F7LSD Follow AWS Developers! 📺 Instagram: https://go.aws/4olJSrM 🆇 X: https://go.