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Strands agent

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EVENT TIMELINE

4

CODING · 1 SOURCE · AWS Machine Learning

Measured autoscaling for TTS on Amazon SageMaker using Kokoro-82M

A how-to demonstrates deploying Kokoro-82M (an 82M-parameter non-autoregressive TTS) as a custom container on an Amazon SageMaker AI real-time endpoint via AWS CDK and replacing a guessed autoscaling target with one derived from two live measurements: Q_max (max per-instance concurrency inside the SLO) and T_total (end-to-end scale-out time). The deployment uses SageMaker's native ConcurrentRequestsPerModel metric (reported to CloudWatch) and supports both InvokeEndpointWithResponseStream and InvokeEndpointWithBidirectionalStream transports; tooling converts client-measured concurrency into CloudWatch units and the example run reported a 1.0 ratio between measured and published values.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AtScale C2026.7 walkthrough: build a semantic layer for Amazon Bedrock AgentCore agents

A technical walkthrough demonstrates using AtScale (C2026.7) as a dimensional semantic layer (modeled in SML) for agentic workflows on Amazon Bedrock AgentCore. The post shows a Strands agent running on AgentCore (with Anthropic Claude Sonnet 4.6 for the demo), how AtScale exposes a single model over SQL/XMLA/MCP, identity and RBAC propagation through AgentCore to AtScale, query pushdown to Amazon Redshift Serverless, and deployment on Amazon EKS.

5.0

MODELS · 1 SOURCE · AWS Machine Learning

Strategy Mosaic exposes MCP access for agentic AI with Amazon Bedrock AgentCore (Strategy One, Mar 2026)

A Strategy blog post demonstrates using Strategy Mosaic as a dimensional semantic layer for a customer-360 pattern across Amazon Redshift and Amazon Aurora and exposing certified models via the Mosaic Model Context Protocol (MCP) to a Strands agent hosted on Amazon Bedrock AgentCore. The walkthrough (source of truth: Strategy One, March 2026) covers modeling, metric syntax, linked models with no ETL, per-user RLS/OLS propagation, live vs in-memory execution, and publishing the same governed definitions to BI, notebooks, and custom apps.

5.0

COMPANIES · 1 SOURCE · AWS Machine Learning

ShipStation Global builds 'Deckhand' AI IT help desk on Amazon Bedrock AgentCore

ShipStation Global built Deckhand, an AI-powered IT help desk agent for Slack, using Amazon Bedrock AgentCore and Anthropic’s Claude. Deckhand draws on a consolidated Bedrock-indexed knowledge base, reads error screenshots, and creates/updates Jira Service Management tickets, reportedly resolving 97.5% of incoming channel queries with a 96% positive employee feedback rating.

6.0