This Guidance helps customers authorize, manage, and audit access to data. Deriving new business insights requires a well-defined, value-oriented strategy, and a coordinated execution with the business and IT. AWS solutions provides the ability to enforce controls for services that access data such as Amazon Redshift, Amazon EMR, Amazon Athena, and Amazon SageMaker.

Architecture Diagram

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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.

  • Reference SAP system data extraction to AWS is deployed with code. Incorporate this automation to your own development pipeline to enable iteration and consistent deployments across your SAP landscape. Observability is derived from the managed services used for processing. Process level metrics, logs and dashboards are available from Amazon CloudWatch.

    Read the Operational Excellence whitepaper 
  • The serverless components in the architecture are protected with AWS Identity and Access Management (IAM) for secure validation of user identity. The managed services only have access to the data that is specified. Access to the SAP workload is through Amazon AppFlow. Amazon AppFlow supports PrivateLink.  Data is encrypted in transit and at rest. Amazon Redshift can be deployed into a customer’s Virtual Private Cloud (VPC).

    Read the Security whitepaper 
  • All the serverless components are highly available. All non-SAP components automatically scale. Amazon AppFlow moves large volumes of data without reducing it into multiple batches to increase reliability. Amazon Redshift continuously monitors health, automatically replicates data from failed drives, and replaces nodes as necessary for fault tolerance.

    Read the Reliability whitepaper 
  • By leveraging serverless technologies, provision only the exact resources you use. Using Amazon S3 as the corporate data memory optimises the storage of the architecture with the processing of the data performed in Amazon Redshift. For improved performance and agility, configure multiple flows in Amazon AppFlow for different groups of business data.

    Read the Performance Efficiency whitepaper 
  • By utilizing serverless technologies, you only pay for the resources you use. To further optimize cost, make sure you are extracting only the business data group that you need. To further optimize cost, minimize the number of flows being executed based on the granularity of your reporting needs. Amazon S3 lifecycle policies can be put in place for data.

    Read the Cost Optimization whitepaper 
  • By utilizing managed services and dynamic scaling, you minimize the environmental impact of the backend services. As new options become available for Amazon AppFlow, make sure these are adopted to further optimize the volume and frequency of extraction. Reducing the quantity and frequency of extraction will improve sustainability as well as help reduce cost and improve performance.

    Read the Sustainability whitepaper 

Sample Code

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Disclaimer

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.