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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  • Integrating an Industrial Data Fabric with Belden CloudRail on AWS

    This Guidance illustrates how to integrate Belden CloudRail with AWS IoT SiteWise Edge.
  • Security Automations for AWS WAF

    Automatically deploy a set of preconfigured AWS WAF rules designed to filter common web-based attacks.
  • Industrial Data Fabric with Siemens Industrial Edge on AWS

    This Guidance shows how to integrate your industrial data fabric with Siemens Industrial Edge and AWS to analyze industrial asset data at scale.
  • Multimodal Video Analytics of Smart Product Subscription Services on AWS

    This Guidance demonstrates how providers offering smart product subscriptions can use large language model (LLM) inferencing to create innovative video analytics services that drive customer value and revenue.
  • Cloud Migration Factory on AWS

    Deploy Cloud Migration Factory on AWS to coordinate and automate manual migration processes, leveraging this AWS Solution to simplify, expedite, and reduce the cost of cloud migration through highly automated pipeline templates.

  • MLOps Workload Orchestrator

    The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization.

  • Multimodal Data Processing Using Amazon Bedrock Data Automation

    This Guidance shows how Amazon Bedrock Data Automation streamlines the generation of valuable insights from unstructured multimodal content such as documents, images, audio, and videos through a unified multi-modal inference API.

  • Collaborative, Unified Data and AI Development on AWS

    This Guidance demonstrates how to use Amazon SageMaker Unified Studio to create a unified development experience for building, deploying, executing, and monitoring end-to-end workflows across AWS data, analytics, and AI/ML services. 

  • Security Insights on AWS

    Security Insights on AWS creates an automated dashboard based on data from Amazon Security Lake to help Chief Information Security Officers (CISOs) and security operations center (SOC) teams gain visibility into their security data, quickly identify threats, and take timely action to enhance their enterprise-wide security.
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