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In this episode, the team will talk through each of the major AWS reInvent announcements and what they mean for you and your AI/ML workloads. Our team of experts break down the reInvent 2025 key launches, provide our expert analysis on the material impacts, and help you know what you should be working on next! We will cover launches like Amazon Bedrock AgentCore, Nova models, and Agents like AWS DevOps Agent, AWS Security Agent, AWS Transform Custom, and Kiro Autonomous Agent.

Learn how Kiro Steering lets you define your project conventions once, and have the Kiro agent follow them in every interaction. In this video, we'll walk through the three inclusion modes — always, fileMatch, and manual — and show how steering files at the workspace and global level keep your agent aligned with your team's standards without repeating yourself in every prompt. Learn more about Kiro Steering: https://go.aws/4uyeU38 Subscribe to AWS: https://go.

In this session, explore Amazon Aurora and Amazon RDS cost components and learn important best practices that can help you improve the performance of your relational database workloads while reducing spend on cost components such as compute, storage, backup, and I/O.

What if building software was as easy as describing your idea? Meet Lovable, the world’s fastest-growing AI startup, powered by AWS AI. Lovable isn’t just speeding up development, it’s removing the barrier between imagination and execution. By turning natural language into fully functional applications, it’s showing what’s possible when AI becomes a true collaborator, not just a tool.

In this episode, former AWS VP Alec Peterson reveals how having a resilience mindset can help leaders turn setbacks into strategic advantages. Peterson emphasizes that effective resilience strategies don’t focus on preventing all failures, but rather on creating systems that allow organizations to fail forward. By anticipating and planning for potential issues, companies can build a business resilience framework that embraces failure as a pathway to innovation.

Learn how to build modern AI-powered applications with Java. James Ward joins Julian Wood to explore what's new when integrating AI for Java developers. Discover how to use the latest AI capabilities in your Java serverless applications. Find out how to use MCP for AI integration, explore agent-based architectures with AgentCore, and how GraalVM optimization delivers superior performance for AI workloads.

Explore the latest advancements in AWS Analytics designed to transform your data processing landscape. This session unveils powerful new capabilities across key services, including Amazon EMR for scalable big data processing, AWS Glue for seamless data integration, Amazon Athena for optimized querying, and Amazon Managed Workflows for Apache Airflow (MWAA) for workflow orchestration. Discover how these innovations can supercharge performance, optimize costs, and streamline your data ecosystem.

This session explores the evolution from generic AI coding assistants to AWS-intelligent development tools through the Model Context Protocol (MCP). Attendees will learn how MCP transforms AI assistants by injecting AWS-specific context, best practices, and service knowledge directly into development workflows. We'll demonstrate using 25+ open-source AWS MCP servers that provide real-time access to CDK patterns, cost analysis, Amazon Bedrock capabilities, and infrastructure guidance.

With rapid changes in VMware licensing and support disrupting IT budgets, now is the time to rethink your application strategy. Join us to discover how agentic AI is driving faster, smarter modernization of VMware workloads on Amazon EC2. What you'll learn: - Modernize faster with AI-driven automation to build a stronger foundation for innovation. - Cut costs and complexity of migrating VMware apps to Amazon EC2, by accelerating network conversion up to 80x faster than manual methods.

GitOps has become a buzzword in the Kubernetes world, promising a simpler way to manage clusters through Git-based workflows. But what is it actually like to get started? In this lightning talk, I’ll walk through my first attempt at deploying applications on Amazon EKS using ArgoCD. I’ll highlight what worked smoothly, where I stumbled, and the key insights I gained along the way. This isn’t a production war story - it’s a builder’s perspective on learning a new approach.

Discover how to build powerful AI agents using Amazon Bedrock's suite of tools, with a focus on Amazon Bedrock AgentCore. This session explores AI agent architectures, from implementing Bedrock Flows to configuring knowledge bases and guardrails. Learn to design dynamic inline agents and understand multi-agent collaboration frameworks. We'll demonstrate how AgentCore's modular components enable you to create secure, enterprise-ready AI solutions that scale.

AWS Business Support+ delivers 24/7 AI-powered assistance that understands your context, with direct engagement to AWS experts for critical issues in under 30 minutes—twice as fast as previous plans. Get intelligent support that combines the speed and precision of AI with the expertise of AWS engineers. Learn more about AWS Business Support+ : https://go.aws/business-plus Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.