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A serverless, data-driven Git metrics dashboard using Amazon Quick Sight

Favorite Git activity is one of the richest signals engineering teams produce that can provide continuous observability into development analytics. The challenge is extracting these Git metrics at scale, which has traditionally required hand-rolled extract, transform, and load (ETL) jobs, dedicated infrastructure, and ongoing maintenance. Further, with modern development tools

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Shared by AWS Machine Learning September 18, 2026

Selecting a vector store for Amazon Bedrock Knowledge Bases

Favorite When building a Retrieval Augmented Generation (RAG) solution with Amazon Bedrock Knowledge Bases, selecting the right vector store impacts performance and cost. Amazon Bedrock Knowledge Bases offers a fully managed option and a customer-managed option where you choose your own vector store. This post focuses on the customer-managed path,

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Shared by AWS Machine Learning September 18, 2026

Introducing Amazon SageMaker HyperPod Inference Gateway

Favorite Eliminate GPU waste. Reduce first-token latency by up to 82%. Install one Kubernetes-native addon with zero application changes. The problem: Naive routing wastes your most expensive resource Running large language models (LLMs) at scale on GPU clusters is expensive. The default Kubernetes load balancers are making it worse. Round-robin

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Shared by AWS Machine Learning September 18, 2026

Co-creating the future of fashion with Google

Favorite Google worked side-by-side with designers Jane Wade and Sergio Hudson to custom-design Google Flow tools to prep for NYFW. View Original Source (blog.google/technology/ai/) Here.