AWS News Blog

Category: Launch

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Amazon ECS introduces new high-resolution metrics for faster service auto scaling

Amazon Elastic Container Service (Amazon ECS) service auto scaling automatically adjusts task counts to meet workload demand with comprehensive scaling policies, including predictive scaling for recurring traffic patterns, scheduled scaling for planned events, and target tracking to scale dynamically on real-time metrics. You can choose proactive scaling by using predictive scaling (automatic) and scheduled scaling […]

Introducing Amazon Bedrock Managed Knowledge Base for faster, more accurate enterprise AI applications

Amazon Bedrock’s new Fully Managed Knowledge Bases simplifies building enterprise RAG pipelines by providing native data connectors Smart Parsing for automatic multi-format data preparation, and an Agentic Retriever for complex multi-step queries—all integrated with AgentCore Gateway so developers can focus on business outcomes rather than infrastructure management.

Announcing Web Search on Amazon Bedrock AgentCore: Ground your AI agents in current, accurate web knowledge

AWS introduces Web Search on Amazon Bedrock AgentCore, a fully managed tool that enables agents to ground responses in current, cited web knowledge with zero data egress from customer’s secured AWS environment. You can focus on building agents instead of manually adding web search to agents on Bedrock AgentCore and managing its infrastructure.

AWS Security Agent adds threat modeling, Kiro power and Claude Code plugin, and more

AWS Security Agent now adds STRIDE-based threat modeling, full repo and PR code scanning with remediation across major Git platforms, and IDE integrations via Kiro power, Claude Code plugin, and MCP — letting developers run security reviews and fix issues without context switching.

Amazon S3 annotations: attach rich, queryable context directly to your objects

Amazon S3 now lets you attach up to 1 GB of rich, mutable, and queryable context directly to your objects using annotations, purpose-built for AI agents and autonomous workflows that need to discover, understand, and act on data at scale without maintaining separate metadata systems.