Search AWS Educational Content

AI coding agents are transforming how developers build and operate modern cloud-native applications. With tools such as Kiro CLI, Kiro IDE, or any MCP-compatible AI coding assistant, developers are embracing AI to move faster and scale smarter. This session explores how Model Context Protocol (MCP) servers for AWS services like ECS and EKS provide real-time, contextual code assistance to AI-powered coding agents.

The Kiro code challenge was a roaring success, with re:Invent attendees showcasing their creativity and coding prowess. Contestants used Kiro to design, build, and deploy innovative applications. Join us as we unveil the top submissions and award the grand prize winners! From efficiency-boosting automations to delightful mini-apps, these champions have proved the power of Kiro. Prepare to be inspired as we celebrate the winners Learn more: More AWS events: https://go.

Join us for today’s conversation on golf, technology, and AI, as we spotlight AWS’s involvement in the PGA TOUR’s Creator Classic.

Event-driven architecture (EDA) enables organizations to build highly flexible and resilient systems, and customers are leveraging serverless containers to run EDA workloads due to its ease of use, scalability, and deep integrations with AWS serverless services. This session explores practical aspects of implementing EDA on Amazon ECS with AWS Fargate, focusing on patterns for consuming events in containerized environments using AWS Step Functions, Amazon SQS, and Amazon EventBridge.

Organizations deploying MCP servers and AI agents lack visibility and security controls for supply chain onboarding and runtime tool execution, creating compliance risks and slowing deployments. The open-source unified MCP server and agents registry partners with Cisco AI Defense to deliver automated, multi-layered security scanning—YARA pattern detection, LLM analysis via Amazon Bedrock, and Cisco proprietary threat detection—eliminating bottlenecks while protecting against vulnerabilities.

99.999% availability—less than five minutes of downtime per year—is the gold standard for mission-critical applications. This session dives deep into architectural strategies to achieve such availability using AWS. We'll explore fault-tolerant patterns such as multi-Region deployments, active-active failover, circuit breakers, bulkheads, chaos testing, and event-driven designs.

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.

Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.

Join us for an insightful discussion on developer experience in the context of AI adoption, where we explore how AI tools are fundamentally shifting developer productivity from organizational-level improvements to individual empowerment. We'll dive into the framework for measuring developer experience, examine practical changes developers are implementing with AI adoption, and discuss the holistic approach to the software development lifecycle in an AI-enabled world.

Discover how Amazon QuickSuite transforms Salesforce data into actionable insights. This demonstration showcases seamless integration between QuickSuite's AI-powered analytics platform and Salesforce CRM, highlighting four key use cases: natural language chat requests, workflow automation, sending notifications, and triggering processes. Learn how to connect your Salesforce data sources, create dynamic dashboards, and leverage generative AI capabilities to unlock deeper customer insights.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/rds-postgresql-pgaudit The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

Something is shifting in the way organizations are being led — and not enough people are talking about it. The companies seeing the greatest returns from AI aren't the ones with the best models. They're the ones whose leaders have learned to move without a clear destination — to hold conviction through ambiguity, build cultures where experimentation isn't punished, and treat every decision as a working hypothesis.