Amazon S3 Vectors - Store and query vectors at scale in S3 | Amazon Web Services
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Learn more about Amazon S3 Vectors: https://go.aws/s3-vectors.
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.
As AI agents transform the workplace, organizations must adapt their structures and methodologies to harness new opportunities. The probabilistic nature of AI requires continuous iteration and intelligent oversight, creating new ways of working across business functions. To thrive, organizations must combine clear capability assessment with agile planning while leveraging their unique domain expertise and data assets.
The rise of generative and agentic AI is transforming how organizations build, operate, and secure applications. As systems become increasingly autonomous and complex, intelligent operations are essential. Join us to discover how AWS Cloud Operations continues to innovate—helping you monitor AI agents wherever deployed, operate smarter across environments, and unlock insights through accelerated analytics.
Amazon Nova Multimodal Embeddings is a unified, state-of-the-art multimodal embeddings model designed to power semantic search and agentic RAG applications. Learn more about Amazon Nova Foundation Models: https://go.aws/48QstTc 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.
Organizations face mounting challenges from manual patching, fragmented compliance, and limited visibility. In this code talk, we'll build an agentic solution with Strands Agents SDK and AWS services to transform patch management. We’ll walk through turning operational requirements into interactive, production-ready agent workflows—driving automated remediation and rapid vulnerability checks.
Dive into AWS networking foundations, starting with the fundamentals of Amazon VPC in a single Region. Learn essential skills for IPv4 and IPv6 selection, subnetting, routing, DNS, and security before scaling to global, multi-Region architectures. In this session, explore various VPC connectivity methods, hybrid network integration, and secure traffic management techniques.
Do you use AI Coding Assistants? Have you ever wondered ... hmmm... how are these things built? What language are they using? How do they handle the back and forth? Well, today I have a very special guest, and he is going to show me how Amazon Q CLI is built, why they chose Rust, and we are going to look into the source code of it to figure out it’s internals! Follow AWS Developers! 📺 Instagram: https://www.instagram.com/awsdevelopers/?hl=en 🆇 X: https://x.
Bring existing agents to AWS with Amazon Bedrock AgentCore. Whether you've built custom agents or use frameworks like LangChain, LangGraph, CrewAI, or LlamaIndex, this session shows how to run them on secure, scalable AWS infrastructure without rewriting your logic. Discover how AgentCore's API-based orchestration integrates external agent frameworks and services, centralizing tooling, observability, memory, and security.
Amazon Cognito introduces AWS Web Application Firewall (AWS WAF) support in Cognito Managed Login. This new capability allows customers to protect their Managed Login endpoints configured in Cognito user pools from unwanted or malicious requests and web-based attacks.
Did Scuderia Ferrari HP driver Charles Leclerc win pole position on his custom-designed AI race track? Watch as Leclerc became the first ever Formula 1®️ driver to drive his own AI-generated track, powered by AWS. Learn more at - http://go.aws/3GmJf09 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.
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