This Guidance demonstrates how to improve business user productivity and the user experience by leveraging real-time data summaries, task automation, and seamless natural language interactions. It showcases the integration of Amazon Bedrock for generative AI and Amazon Lex for conversational AI assistant capabilities. The Guidance is designed to be extensible, allowing you to seamlessly extend both SAP S/4HANA native and RISE with SAP capabilities with other AWS services, enabling a more comprehensive and tailored solution for your business needs.

Note: [Disclaimer]

Architecture Diagram

[Architecture diagram description]

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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.

  • Amazon CloudWatch provides real-time monitoring and insights, enabling swift detection and response to performance issues, security threats, and configuration changes. Complementing this, AWS CloudTrail tracks API calls and resource modifications, offering a comprehensive audit trail for maintaining control and visibility over your infrastructure. By using these services, you can efficiently and effectively manage your systems, driving business agility and enhanced customer satisfaction.

    Read the Operational Excellence whitepaper 
  • AWS Identity and Access Management (IAM) controls access, enforces least privilege, and manages keys to secure AWS resources. S3 bucket policies and access control lists (ACLs) restrict access to buckets and objects, enforce encryption, and block public access. Implementing these services secures AWS resources and data. When exposing SAP data through Amazon Lex, use IAM roles and Amazon S3 policies to ensure least privilege access and restrict unauthorized access to sensitive data fields.

    Read the Security whitepaper 
  • Lambda, Amazon Lex, Amazon Bedrock, Amazon S3, and Athena offer built-in redundancy and fault tolerance across Availability Zones, promoting high availability without manual configuration. As usage grows, reliability becomes crucial, ensuring consistent availability and performance despite failures or high traffic. Using these services to enhance reliability helps you maintain user trust, prevent revenue loss, and mitigate reputational risks.

    Read the Reliability whitepaper 
  • AWS Lambda, Amazon Lex, Amazon Bedrock, Amazon S3, and Athena are serverless services that scale based on demand. Lambda runs your code without managing servers, automatically scaling to meet demand and ensuring efficient resource utilization. Amazon Lex enables seamless conversational interfaces that handle user queries with ease, providing a smooth user experience. Amazon Bedrock empowers you to leverage large-scale ML models, enhancing the performance and accuracy of your applications. Amazon S3 offers highly scalable and durable object storage, while Athena enables efficient data analysis using standard SQL, unlocking valuable insights.

    Read the Performance Efficiency whitepaper 
  • The services in this Guidance support cost optimization through serverless architecture, charging only for resources consumed, and built-in features. For example, Amazon Lex enables cost-effective chatbot development. Lambda runs code without provisioning servers, eliminating idle resource costs. Amazon Bedrock deploys ML models efficiently. Athena allows you to analyze Amazon S3 data using SQL, eliminating complex extract, transform, load (ETL) processes and reducing data processing and storage costs.

    Read the Cost Optimization whitepaper 
  • Amazon Lex helps automate customer interactions, reducing the need for energy-intensive physical infrastructure. Lambda and Amazon Bedrock enable efficient, on-demand computing and advanced AI modeling, minimizing energy consumption. Amazon S3 promotes durable and scalable data storage, while Athena facilitates data analysis without the overhead of traditional data warehousing solutions. By using these services, you can reduce your environmental impact and align with sustainable best practices.

    Read the Sustainability whitepaper 
[Content Type]

[Title]

This [blog post/e-book/Guidance/sample code] demonstrates how [insert short description].

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.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.

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