AWS Solutions Library

Vetted solutions and guidance for business and technical use cases

Discover Solutions from AWS and AWS Partners

Organizations today are in search of vetted solutions and architectural guidance to rapidly solve business challenges. Whether customers prefer off-the-shelf deployments, or customizable architectures, the AWS Solutions Library carries solutions built by AWS and AWS Partners for a broad range of industry and technology use cases.

AWS Services

Purpose-built cloud products

AWS Solutions

Ready-to-deploy solutions assembling AWS Services, code, and configurations

Partner Solutions

Software, SaaS, or managed services from AWS Partners

Guidance

Prescriptive architectural diagrams, sample code, and technical content

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  • Quota Monitor for AWS

    Deploy a solution that automatically provisions the services necessary to proactively track AWS resource usage and send notifications as you approach resource limits.
  • Live Streaming on AWS

    Build a highly resilient and scalable architecture that delivers your live streaming video content worldwide.
  • Secure Media Delivery at the Edge on AWS

    Deploy this solution to protect your premium video content from unauthorized access when delivered through Amazon CloudFront

  • Video on Demand on AWS Foundation

    Deploy a solution that automatically provisions the services necessary to build a scalable, distributed architecture that ingests, stores, processes, and delivers video content.
  • Identifying Diagnosis Codes from Clinical Notes on AWS

    This Guidance shows how to use generative artificial intelligence (generative AI) to summarize patient histories and identify likely medical conditions and diagnosis codes.
  • Detecting Point of Sale Fraud using Amazon SageMaker

    This Guidance shows how your travel and hospitality (T&H) business can effectively detect fraudulent transactions and gain fraud prediction insights on AWS.
  • Capturing Retail Video Analytics on AWS

    This Guidance shows how retailers can harness in-store cameras and AI/ML capabilities to gain deeper customer insights and enhance in-store experiences.
  • Intelligent Insurance Assistant Using Replicated Mainframe Data on AWS

    This Guidance demonstrates how to implement an intelligent conversational AI chatbot that uses insurance policy, billing, and claims data from mainframe applications to receive and deliver responses using natural language.
  • Investment Analysis Using Amazon Bedrock

    This Guidance demonstrates how Amazon Bedrock, which offers a range of large language models (LLMs), can perform generative AI-powered analysis on structured and unstructured data sets to support investment analysts.

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