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In this session, learn about AWS Lambda's execution environment lifecycle, diving deep into how the service manages isolation at the function level, and understanding the security implications of environment reuse patterns. Learn about traditional patterns for compute isolation in multi-tenant environments, as well as explore Lambda's tenant isolation mode - a new powerful capability that enables tenant-level compute separation without operational overhead.

Are you spending too much time on data warehouse management tasks like hardware provisioning, software patching, and performance tuning and not enough time building your applications and innovating with data? Tens of thousands of customers rely on AWS Analytics every day to run and scale analytics in seconds on all their data without managing data warehouse infrastructure.

We are infusing Agentic AI into the entire Software Development Lifecycle from brainstorming new ideas, implementing a plan, crafting new code, reviewing code reviews, releasing software, and bringing insights back to the development team. See how GitHub Copilot is being reimagined through this entire lifecycle to boost productivity across teams. This presentation is brought to you by GitHub, an AWS Partner. Learn more: More AWS events: https://go.

AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize, and monitor data from industrial equipment at scale to help you make better, data-driven decisions. In this video, you will learn how to implement native anomaly detection in AWS IoT SiteWise to transform your industrial equipment monitoring strategy.

In this episode, our hosts will discuss how to build production-ready GenAI applications and integrate them into enterprise systems. We'll present agentic AI architectures, demonstrate Model Context Protocol (MCP) servers for agent-tool interactions, and walk through deployment strategies for GenAI systems on AWS. You'll explore live demos, tackle exam-style scenarios, and join engaging discussions about the challenges and opportunities of bringing GenAI to production on AWS.

Learn how AWS Security Hub prioritizes critical security issues, correlates signals into actionable insights, and enables streamlined responses at scale to protect your cloud environment. For more information, visit https://go.aws/4e9Y9U2. 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.

Join us for an insightful exploration of cutting-edge AI technologies and their practical applications in enterprise environments. Our speakers will guide you through the landscape of AI implementation and the transformative potential of AI agents. In our first segment, Rackspace's Manager of AI/ML Solutions Architecture, Prashant Mishra, shares insights on effective AI implementation strategies.

In this Code Talk, we'll explore advanced techniques for extracting optimal performance from Amazon EC2 instances through hands-on demonstrations and real-world examples. Watch as we implement systematic workload analysis using native AWS tools including CloudWatch and APerf, showing you how to measure and interpret key performance indicators across instance types.

At United Airlines, security is seen as a foundation for resilience. With hundreds of AWS accounts across regions, United scaled governance and compliance using AWS Organizations, AWS Config, AWS Systems Manager, and Service Control Policies. These governance services and tools prevent tens of thousands of non-compliant actions while enabling early detection and automated remediation.

Watch Full episode: https://www.youtube.com/watch?v=3CErH6zihLc&list=PLhr1KZpdzukevIWxQPbYmL9XWyBgj9xbz Join us for an insightful conversation with Brooke Moody (AWS Retail Enterprise Account Manager) and Duncan Jessep (AWS Retail Enterprise Sales Manager) as they unpack the key highlights and innovations from NRF APAC 2025 in Singapore, bringing the best insights back home to Australian retail.

🤖 Agentic apps need databases that adapt — not rigid schemas that break when your LLM decides to add a field. RAG pipelines need #VectorSearch that doesn't force you into a separate data silo. Developers need tools that actually understand their #AI workflows. Amazon DocumentDB is evolving for this new era.

As Retrieval-Augmented Generation (RAG) transforms enterprise AI applications, security remains a critical concern. In this session, we will explore ways to architect secure RAG implementations using Amazon Bedrock, addressing crucial challenges in data privacy, access controls, and prompt injection vulnerabilities.