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Rather than choosing a single rigid policy type, you construct policies by selecting the requirements that matter to your application, such as service level objective (SLO), multi-AZ and multi-Region disaster recovery, and data recovery requirements... Systems represent a business application, user journeys describe critical business paths, and services are the deployable units comprising AWS re...

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With URL and domain category filtering, security teams can use predefined categories to control access instead of managing individual domains... Instead of manually tracking every new AI service, you can control access to the entire Artificial Intelligence and Machine Learning category while creating exceptions for approved services... In this post, we walk through URL and domain category filter...

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Today, we’re announcing the next generation of Amazon OpenSearch Serverless, a fully managed search and vector engine designed for customers building AI agents... The next generation of OpenSearch Serverless scales from zero to thousands of requests per second and back to zero when idle, offering up to 60% cost savings compared to the cost of OpenSearch Service clusters provisioned for peak capa...

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To understand whether your agent is truly improving over time, you need a fixed benchmark alongside your changing real-world traffic... Managing test cases for evaluation baselines as a dataset in Amazon Bedrock AgentCore brings the discipline of versioned test fixtures to agent evaluation... In this post, we walk through the full workflow with a financial market-intelligence agent... We captur...

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Today, we’re excited to announce the availability of Anthropic’s most advanced Opus model, Claude Opus 4...8, on Amazon Bedrock and the Claude Platform on AWS... Claude Opus 4... With Claude Opus 4... Claude Opus 4...8 is also available through Claude Platform on AWS, giving you Anthropic’s native platform experience when regional data residency isn’t required... See the documentation for ...

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You will build a triage workflow using Amazon Quick Flows and Snowflake Cortex, connected through the Amazon Quick Model Context Protocol (MCP) integration... In our testing environment, automated workflows built using Amazon Quick reduced alert investigation time from 30-90 minutes to under 5 minutes... Amazon Quick is an enterprise AI service that provides generative AI-powered chat agents, res...