This Guidance shows how your developers can build a real-time analytics pipeline that uses AI to deliver effective marketing offers during game sessions. By using gaming-machine and shuffler data to update machine learning (ML) models in real time, this pipeline predicts the best offers for individual customers. The analytics pipeline then returns these findings to your gaming machines and applications so that you can promote offers based on each user’s customer profile.

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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 enhances observability through metrics and helps you visualize data through personalized dashboards and logs. Additionally, X-Ray helps you analyze user requests as they travel through your API Gateway APIs to the underlying services. Together, CloudWatch and X-Ray can help you identify performance bottlenecks and troubleshoot requests.

    Read the Operational Excellence whitepaper 

  • In this Guidance, devices use X.509 certificates for authentication and AWS IoT policies for authorization so that they can securely connect with each other, AWS IoT Core, and IoT Greengrass. Additionally, all AWS Identity and Access Management (IAM) policies have been scoped down to the minimum permissions required for the services to function properly, helping you limit unauthorized access to resources.

    Read the Security whitepaper 

  • API Gateway and Lambda operate in multiple Availability Zones (AZs) in each AWS Region, using this redundancy to maintain availability even in the case of infrastructure failure. API Gateway automatically recovers from the failure of an AZ. Additionally, Kinesis Data Streams provides a default 24-hour retention period, enabling you to select a specific timestamp from which to start processing records. This helps you reliably resume processing at a later time without data loss. Finally, DynamoDB provides on-demand backup capability, point-in-time recovery, and global tables that sync across Regions to help support your data resiliency and backup needs.

    Read the Reliability whitepaper 

  • Kinesis Data Streams enables multiple applications to consume data from the same stream. As a result, multiple actions, like archiving and processing, can take place concurrently and independently, providing higher throughput. CloudWatch provides actionable insights that help you optimize application performance, manage resource utilization, and understand system-wide operational health. Finally, Amazon DynamoDB Accelerator (DAX) helps you increase performance by providing quicker response times through in-memory reads.

    Read the Performance Efficiency whitepaper 

  • The DynamoDB automatic scaling feature manages throughput based on your application traffic and your target utilization metric. This helps you make sure your tables have the required capacity required for your application and helps you avoid the cost of overprovisioning. Amazon S3 also provides automatic scalability, helping you increase your agility. Together, these services lower the total cost of ownership for storing and retrieving data.

    Read the Cost Optimization whitepaper 

  • Lambda allows you to run code without provisioning or managing servers, and its functions automatically scale to meet the demand. It also reuses implementation environments, improving your resource utilization. These capabilities help you optimize the resource usage of your application, minimizing the energy consumption of your workloads.

    Read the Sustainability whitepaper 

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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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