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Database modernization projects stall because nobody on the team can confidently decide what goes where across hundreds of tables and thousands of queries. This episode demos a pipeline that scores every query against every target engine using deterministic rules, pauses for human approval, then uses specialist-guided AI to generate production-ready target schemas with full traceability back to your actual workload.

Learn how to run and leverage performance testing on AWS to drive cost optimization, validate system behavior, identify bottlenecks, and significantly improve reliability, while informing architectural decisions and optimal instance type selection for your workloads. You'll discover methods for pinpointing performance thresholds across different traffic patterns and understanding system reliability when stressed beyond normal parameters.

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/lightsail-bitnami-renew-ssl-certificate The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

AI systems are evolving beyond multi-modal understanding into autonomous collaboration and problem-solving for industry-specific challenges. This technical session demonstrates how to build and orchestrate multi-agent systems that leverage industry expertise with LLMs. Topics include agent orchestration framework customization, advanced RAG patterns for domain knowledge, collaborative decision-making mechanisms, and production-scale observability.

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Join this lightning talk to learn how to validate Amazon GuardDuty's runtime threat detection capabilities using test cases that reflect realworld threats. We'll demonstrate practical examples of executing controlled MITRE ATT&CK-mapped tests to verify GuardDuty's ability to detect common attack techniques, including execution, privilege escalation, persistence and impact.

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Twitch stream from aws

Most AI tools just retrieve info—but what if they could actually do things, like book a tennis court, fill out a form, or navigate a UI? In this talk, we’ll go beyond APIs and show how to build browser-powered MCP tools that complete real tasks. I’ll demo an MCP server on Cloudflare Workers using browser rendering to log in, solve CAPTCHAs, handle 2FA, and book a court. We’ll cover the anatomy of effective tools, lessons learned (including tool poisoning), and what makes a “real tool” vs.

AWS re:Post Live approaches common questions and top of mind use cases submitted by the knowledge sharing community on repost.aws. Each week our experts from AWS dive deep into best practices and troubleshooting tips to expand your cloud knowledge, introduce you to the latest AWS technologies, and drive solutions based learning sessions to take your cloud practices to the next level.

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/connect-contact-lens-403-errors The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.