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ExternalCloud
AWS News Blog

AWS Weekly Roundup: OpenAI GPT-6 Astra on Amazon Bedrock, Amazon Quick desktop GA, Kiro for students, and more (September 14, 2026)

There’s a particular energy to mid-September in New York. Pumpkin spice lattes are flowing, temperatures are dropping, and it’s nearly sweater weather. The city is back at full speed, and so is the AWS launch calendar. This week that energy showed up in a new frontier model on Amazon Bedrock, a desktop app for Amazon […]

Amazon BedrockAmazon Elastic Block Store (Amazon EBS)Amazon OpenSearch Service
AWS News BlogRead original
ExternalAI
AWS Machine Learning Blog

Automate replenishment with MMF, Databricks Genie, and Amazon Quick

Foundation models made catalog-wide demand forecasting easy; the hard part is now acting on the forecast. This post builds a closed detect-decide-act loop on Databricks and Amazon Quick that reconciles demand surges against live supplier availability and places replenishment orders unattended, escalating to a human only when no supplier can cover a surge.

Advanced (300)Amazon Quick SuiteTechnical How-to
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
DZone

Building a 2KB Histogram with Sub-0.2% Percentile Error

The Problem: Tracking Request Latency Without Slowing Things Down For a cloud data warehouse, performance is not just about average query time. What often matters more is tail latency, predictability, and the ability to pinpoint where things go wrong. In a cloud-native data warehouse like Databend, a single request may pass through multiple stages: SQL planning, distributed execution, remote storage, Raft logging, and state machine apply. Tail latency in any one of these stages can affect the qu

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