An AWS post walks through deploying a three-agent music production pipeline on Amazon Bedrock AgentCore Runtime Instances, the new EC2-based compute option for long-running agent workflows. Three Strands Agents (composition, delivery, compliance) colocate on one GPU instance via a shared session ID, render a track with ACE-Step, master it, and screen it against a back catalog. The architecture demonstrates patterns AWS says extend to 3D rendering, simulation, inference, and media processing workloads.
Amazon Bedrock AgentCore now offers observability for AI agents built with Strands Agents, LangGraph, and CrewAI, running on EKS, ECS, Lambda, on-premises, or other clouds like GCP and Azure. This extends monitoring beyond AWS to help practitioners track agent performance across hybrid environments.
Amazon Bedrock AgentCore now offers observability for AI agents built with Strands Agents, LangGraph, and CrewAI, running on EKS, ECS, Lambda, on-premises, or other clouds like GCP and Azure. This extends monitoring beyond AWS to help practitioners track agent performance across hybrid environments.
AWS published a post demonstrating how to build agentic workflows that mix managed foundation models with custom or cost-optimized models by combining OpenAI-compatible endpoints on SageMaker AI with Amazon Bedrock AgentCore runtime. This approach lets specialized agents collaborate on complex tasks while each uses the model best suited to its job, offering cost optimization, data residency, and model flexibility.
AWS published a post demonstrating how to build agentic workflows that mix managed foundation models with custom or cost-optimized models by combining OpenAI-compatible endpoints on SageMaker AI with Amazon Bedrock AgentCore runtime. This approach lets specialized agents collaborate on complex tasks while each uses the model best suited to its job, offering cost optimization, data residency, and model flexibility.
AWS announced new capabilities for Amazon Bedrock AgentCore to control agent behavior and cost beyond a single action. The updates include temporal policies for access control and rate limiting for AI traffic on the AgentCore gateway, addressing security concerns that McKinsey cites as the leading barrier to scaling agentic AI.
AWS announced new capabilities for Amazon Bedrock AgentCore to control agent behavior and cost beyond a single action. The updates include temporal policies for access control and rate limiting for AI traffic on the AgentCore gateway, addressing security concerns that McKinsey cites as the leading barrier to scaling agentic AI.
AWS announced the new Amazon Bedrock AgentCore runtime, a managed compute layer for production agents, adding on-demand memory allocation with reclamation of cold memory and snapshot-based cold starts that stay consistent regardless of image size. A companion AWS post demonstrates migrating a multi-model healthcare agent from ECS/Fargate to the runtime with no agent-logic changes. The updates target teams running long-running, bursty agents where peak-memory billing and variable cold starts inflate cost and latency.
AWS announced the new Amazon Bedrock AgentCore runtime, a managed compute layer for production agents, adding on-demand memory allocation with reclamation of cold memory and snapshot-based cold starts that stay consistent regardless of image size. A companion AWS post demonstrates migrating a multi-model healthcare agent from ECS/Fargate to the runtime with no agent-logic changes. The updates target teams running long-running, bursty agents where peak-memory billing and variable cold starts inflate cost and latency.
AWS announced new capabilities for Policy in Amazon Bedrock AgentCore, enabling teams to author and enforce agent restrictions from natural language. The update expands time-based constraints to align agent actions with organizational policies and regulatory requirements.
AWS announced new capabilities for Policy in Amazon Bedrock AgentCore, enabling teams to author and enforce agent restrictions from natural language. The update expands time-based constraints to align agent actions with organizational policies and regulatory requirements.