AWS sap documentation change
Summary
Editorial improvements: rephrased descriptions for clarity and updated link formats in examples of event-based notifications and integration architectures.
Security assessment
Changes are purely editorial, focusing on sentence structure and link formatting without introducing new security concepts or addressing vulnerabilities. Mentions of AWS Secrets Manager remain unchanged and don't indicate new security documentation.
Diff
diff --git a/sap/latest/general/rise-jra-customapps.md b/sap/latest/general/rise-jra-customapps.md index 0bc34a8d5..00772df89 100644 --- a//sap/latest/general/rise-jra-customapps.md +++ b//sap/latest/general/rise-jra-customapps.md @@ -44 +44 @@ Example of Event Based notification through Amazon SNS : -In the architecture above, a user updates a Business Partner in SAP S/4HANA, you can trigger the update event through SAP Event Mesh. The CAP Application that is enhanced with AWS SDK for Java to trigger the Amazon SNS topic which enables you to notify Data Owner for this change either through an email, text message and mobile push notification. You can find out more in [this github respository](https://github.com/SAP-samples/cloud-cap-amazon-sns-integration). +In the preceding architecture, when you update a Business Partner in SAP S/4HANA, you can trigger the update event through SAP Event Mesh. The CAP Application that is enhanced with AWS SDK for Java to trigger the Amazon SNS topic which enables you to notify Data Owner for this change either through an email, text message and mobile push notification. For more information, see [SAP samples: Cloud CAP Amazon SNS integration](https://github.com/SAP-samples/cloud-cap-amazon-sns-integration) on the GitHub website. @@ -50 +50 @@ Example of Event Based notification through Amazon SQS and EventBridge, as well -In the architecture above, Event-Driven Integration Architectures: Leverages SAP BTP for Industry 4.0 scenarios, showcasing the versatility of SAP-AWS integration to support Predictive Maintenance scenario reducing downtime for your manufacturing line. This leverages AWS IoT Services, Amazon SQS as well as Amazon EventBridge to provide early sensor data such as speed, temperature, vibration, and others that will indicate the need of maintenance before any outage or downtime occurs for certain mechanism. +The preceding architecture shows an event-driven integration that uses SAP BTP for Industry 4.0 scenarios. It demonstrates SAP–AWS integration supporting predictive maintenance to reduce downtime for your manufacturing line. This architecture uses AWS IoT Services, Amazon SQS, and Amazon EventBridge to provide early sensor data, such as speed, temperature, and vibration, that indicates the need for maintenance before an outage or downtime occurs. @@ -60 +60 @@ We provide an integration framework between [Amazon Rekognition](https://aws.ama -In the architecture above, the information flow begins with CCTV cameras capturing images at a factory and storing them in [Amazon S3](https://aws.amazon.com/s3/). An [AWS Lambda](https://aws.amazon.com/pm/lambda/) function triggers Amazon Rekognition’s PPE detection model to inspect for safety equipment compliance. If violations are detected, the Lambda function retrieves credentials from AWS Secrets Manager and communicates with [SAP Integration Suite’s Advanced Event Mesh](https://www.sap.com/products/technology-platform/integration-suite/advanced-event-mesh.html). The event is then processed by the Event-to-Business-Action framework, which uses [SAP Build Process Automation](https://www.sap.com/sea/products/technology-platform/process-automation.html)'s Business Rules to determine appropriate actions. Finally, the system creates an EHS Incident Report Safety Observation in the SAP S/4HANA system through SAP Destination Service and Private Link Service. You can find out more in [this github repository](https://github.com/SAP-samples/btp-aws-ppe-detection-ehs). +In the preceding architecture, the information flow begins with CCTV cameras capturing images at a factory and storing them in [Amazon S3](https://aws.amazon.com/s3/). An [AWS Lambda](https://aws.amazon.com/pm/lambda/) function triggers the Amazon Rekognition PPE detection model to inspect for safety equipment compliance. If violations are detected, the Lambda function retrieves credentials from AWS Secrets Manager and communicates with the [Advanced Event Mesh feature of SAP Integration Suite](https://www.sap.com/products/technology-platform/integration-suite/advanced-event-mesh.html). The event is then processed by the Event-to-Business-Action framework, which uses the Business Rules capability of [SAP Build Process Automation](https://www.sap.com/sea/products/technology-platform/process-automation.html) to determine appropriate actions. Finally, the system creates an EHS Incident Report Safety Observation in the SAP S/4HANA system through SAP Destination Service and Private Link Service. For more information, see [SAP samples: BTP PPE detection EHS](https://github.com/SAP-samples/btp-aws-ppe-detection-ehs) on the GitHub website.