AWS Solutions Library

Vetted solutions and guidance for business and technical use cases

Discover Solutions from AWS and AWS Partners

Learn more about Solutions on AWS 

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

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

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Software, SaaS, or managed services from AWS Partners

Guidance

Prescriptive architectural diagrams, sample code, and technical content

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  • Building a SAP Cloud Data Warehouse on AWS

    This Guidance shows how to extract data and business logic from SAP systems to build a data warehouse that integrates the business context and logic embedded within the SAP system.

  • Industrial Data Fabric with Snowflake and HighByte on AWS

    The Guidance demonstrates how to create an enterprise-governed model in HighByte, ingest real-time, historical, and transactional data at scale from edge and cloud data sources into Snowflake, and interface with applications using REST APIs.

  • DataLake with SAP and non-SAP data on AWS

    This Guidance demonstrates how to combine and consolidate SAP and non-SAP data from disparate sources using AWS Datalakes and Machine Learning services allowing customers to unlock hidden business insights.

  • Object-Level Insights and Cost Savings with Amazon S3

    This Guidance shows how to achieve object-level insights in Amazon Simple Storage Service (Amazon S3) and transition or expire objects based on their last access date.

  • Incremental Data Exports from Amazon DynamoDB to Amazon S3

    This Guidance shows how the Amazon DynamoDB continuous incremental exports feature can help capture and transfer ongoing data changes between DynamoDB tables.

  • Digital Twin Framework on AWS

    This Guidance demonstrates how to leverage AWS services to create digital twins for industrial Internet of Things (IoT), spatial compute, and simulation use cases.

  • Deploying Smart Machines on AWS

    This Guidance demonstrates how to deploy, manage, and monitor smart industrial products with AWS services.

  • Deploying a Data Transfer Dashboard for AdTech on AWS

    This Guidance shows how to use AWS Cost and Usage Reports (AWS CUR) and Amazon Athena to build a dashboard that gives you a centralized view of your data transfer costs and usage.

  • Digital Concierges for Hospitality on AWS

    This Guidance demonstrates how hospitality companies can drive agent and employee productivity through automation and generative AI to increase guest satisfaction, upsell opportunities, and reduce the total cost of ownership of current customer experience technologies.
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