This Guidance demonstrates how to use SAP to integrate data from enterprise resource planning (ERP), manufacturing execution systems (MES), or product lifecycle management (PLM) into engineering and business intelligence dashboards on AWS. Data is collected from multiple sources, transferred to a data lake, prepared for analytics, and then integrated with a business insights dashboard for supply chain stakeholders to report, monitor, and optimize engineering operations.

Architecture Diagram

Download the architecture diagram PDF 

Well-Architected Pillars

The AWS Well-Architected Framework helps you understand the pros and cons of the decisions you make when building systems in the cloud. The six pillars of the Framework allow you to learn architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable systems. Using the AWS Well-Architected Tool, available at no charge in the AWS Management Console, you can review your workloads against these best practices by answering a set of questions for each pillar.

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

  • The QuickSight dashboard provides the actionable insights required to quickly react to changes in supply and demand, and enables yield management across the entire semiconductor supply chain.

    Read the Operational Excellence whitepaper 
  • For secure authentication and authorization, customers can implement federated AWS access to directory services on-premises and use AWS Directory Service. Authentication and authorization can be used across the entire architecture, from the remote desktop to running batch jobs.

    Read the Security whitepaper 
  • By leveraging AWS IoT Core services, customers are leveraging secure connections between devices and the AWS Cloud. AWS IoT Core services use highly reliable, messaging queuing telemetry transport (MQTT) for the data input from third-party partners. Therefore, temporary transfer issues should be minimized or even eliminated.

    Read the Reliability whitepaper 
  • The services in this Guidance were selected to ensure compatibility for hi-tech, electronics, and semiconductor customers. Many of these companies have MES/PLM/ERP applications, and the services selected enable data integration from each of those applications.

    Read the Performance Efficiency whitepaper 
  • Companies can save time and cost when using AWS Glue for data integration. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it simple and cost-effective to categorize data, clean it, enrich it, and move it reliably between various data stores and data streams.

    Read the Cost Optimization whitepaper 
  • By taking a microservices approach coupled with AWS managed serverless services, this Guidance allows customers to limit the amount of infrastructure they needed to provision.  

    Read the Sustainability whitepaper 

Implementation Resources

A detailed guide is provided to experiment and use within your AWS account. Each stage of building the Guidance, including deployment, usage, and cleanup, is examined to prepare it for deployment.

The sample code is a starting point. It is industry validated, prescriptive but not definitive, and a peek under the hood to help you begin.

AWS Architecture


This post demonstrates how...


The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

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