How boAt delivers personalized fitness coaching with Amazon Bedrock

TutoSartup excerpt from this article:
In this post, we explore how boAt built the AI Coach on Amazon Bedrock and AWS Lambda, and the design choices that made it scalable and cost-effective... These data points are transmitted by the companion application to backend servers and stored in Amazon Relational Database Service (Amazon RDS) for MySQL and Amazon DocumentDB (with MongoDB compatibility)... For production deployments, consi...

Build a repeatable PHP-to-Java migration engine with Kiro

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It runs three strategies on every scan: Eloquent model discovery (walking the class inheritance chain to IlluminateDatabaseEloquentModel), Doctrine attribute detection (the #[ORMEntity] attribute), and ORM XML mapping (external *... The parity-first pipeline Phase 0 is preparatory: it runs the scanner and assembles the inventory... Phase 1 builds the parity harness before Java is written, r...

Will the Fed’s Pause Complicate the Inflation Fight?

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In his opening statement at Wednesday’s press conference, he said that “economic activity is expanding at a strong pace” and has “strengthened,” while “job gains have kept pace with the workforce... 9 will give inflation more room to run, forcing the Fed into a stronger policy response to play catch-up... While that may be a politically savvy move, it could make the central bank’s j...

How Revinate accelerated API adoption with Amazon API Gateway

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25 billion guest profiles, Amazon API Gateway became the foundation of their solution... This post explores how Revinate used Amazon API Gateway and the newly released Amazon API Gateway Portal to create a scalable, secure, and developer-friendly API program... The solution: Amazon API Gateway with Developer Portal Revinate needed the comprehensive capabilities of an enterprise API management p...

Building an Agentic AI Platform on Amazon Bedrock AgentCore

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If you’ve tried to get an agent into production, the model and tool use are not the blocker... For a Platform team that wants to support many agentic use cases, that’s a platform product to design and operate... Workstream teams are the domain or product teams that build and own agents on the platform... We cover the multi-account operating model, the Platform control plane, a repeatable per-W...

Automating agentic AI Well-Architected reviews with the AWS Agentic AI Lens

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In this post, we show how Smarsh, a leading archiving and compliance platform for communications intelligence, used the AWS Well-Architected Framework’s Agentic AI Lens to conduct a rigorous, evidence-based review of its first agentic workload... To operationalize the review, Smarsh built a custom skill for Claude, Anthropic’s AI assistant... The skill assessed the workload against all 150 b...

Distributed training with Ray Train DLCs and EFA on EKS

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What usually stops PyTorch training from scaling out to a cluster is the container, not the model code... Building that image and rebuilding it each time one of those pieces moves is a project of its own, and it has nothing to do with the model you set out to train... Ray worker nodes supply the GPUs and run the training processes... The training code is one function, the cluster is one RayCluster...