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When paths diverge in open source, innovation often follows. Join Corey Quinn and Madelyn Olson as they dive into how Amazon ElastiCache for Valkey cut prices by up to 33% while simultaneously improving both performance and reliability through community-driven development.

Watch us live-code an intelligent agent factory that creates specialized business agents on-demand through natural language. Using Amazon Bedrock, and open source frameworks like MCP and Strands, we'll build a system where users describe their needs ('I need an HR onboarding agent and a Business Analyst Agent') and get working agents deployed securely through AgentCore in minutes.

Discover the latest AWS Security incident response capabilities with OU-level membership support. Learn how to leverage EventBridge and Jira-ITSM integration for streamlined security operations. Learn more at - http://go.aws/4mngijE Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.

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/dx-configure-dx-and-vpn-failover-tgw The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

GenAI-powered development tools are changing how teams build multi-tenant agentic SaaS software. It's time to see how these tools can be used to accelerate the creation of entire SaaS environments. This session will walk through the end-to-end creation of a SaaS environment, using the AWS stack of GenAI services (such as Kiro and Strands) to construct an agentic-enabled SaaS environment.

Ever wondered how Salesforce built an end-to-end agentic AI platform that handles everything from creative writing to deterministic financial tasks in a single runtime? In this episode of How to Build Like AWS, we sit down with the developers behind Agentforce to unpack how they built agents that manage the full spectrum — from open-ended creative tasks to precise, rule-based workflows — and why fine-tuning open source models on AWS gives you the "free lunch" of faster, cheaper, and more...

As supply chains grow increasingly complex, companies are using the cloud, artificial intelligence (AI), and internet of things (IoT) to gain better, faster insights and reduce costs. Hear how Sysco, the global leader in foodservice distribution, executed a strategic cloud migration to enhance scalability, improve warehouse efficiency, and develop a foundation to accelerate AI use cases.

In this session, learn how to design mission-critical systems that process millions of transactions daily, on serverless services. Beginning with a legacy system, we'll decompose a monolith and discuss key serverless patterns to help accelerate modernization efforts.

VF Corporation, home to iconic brands like Vans and The North Face, is using AWS to reimagine its product development process and accelerate time-to-market. Using AWS computing power and AI services, including Amazon Bedrock, VF evolved from physical prototypes to hyperrealistic digital renders—enabling 20% faster lead times and reaching wholesale customers two months earlier.

Discover how eSentire built Atlas AI using Snowflake’s AI Data Cloud and AWS to democratize cybersecurity expertise and accelerate investigations from hours to minutes. You'll hear about how eSentire unified global security telemetry in Snowflake’s data mesh, operationalized AI with Snowflake’s governance, semantic views and programmability, and integrated Anthropic’s Claude models on Amazon Bedrock to create agentic AI that thinks like expert SOC analysts, to drive 95% expert accuracy,...

Critical infrastructure relies on software, but a single bug can cause chaos. Traditional testing is slow and unpredictable, leaving developers struggling to catch issues before release. As Antithesis Co-Founder and CEO Will Wilson notes, engineers spend over half their time just testing and fixing problems. Antithesis aims to revolutionize this process, freeing engineers from endless testing to focus on innovation.

Modern AI agents need more than static knowledge—they need the ability to remember, learn from past interactions, and adapt to evolving contexts. This session explores how to build context-aware AI agents by implementing an episodic memory strategy using Amazon Bedrock AgentCore. We will discuss how agents can capture, store, and retrieve past interactions to create more personalized and coherent user experiences across sessions.