Guidance for Personalized Ecommerce Recommendations Using Amazon Bedrock Agents
Overview
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Deploy with confidence
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Well-Architected Pillars
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.
Operational Excellence
DynamoDB and Lambda streamline data management and backend processing tasks. DynamoDB delivers high availability and low-latency access with automated backups, monitoring, and security features that minimize manual intervention. Lambda executes code in response to events without infrastructure management, automatically scaling to match demand.
Read the Operational Excellence whitepaperSecurity
AWS Identity and Access Management (IAM) and Amazon OpenSearch Serverless establish robust security controls for data access and user management. OpenSearch Serverless implements fine-grained access control for precise user permissions over search and analytics data. Through seamless integration with IAM, authentication and authorization mechanisms help ensure data remains protected while maintaining stringent access controls.
Read the Security whitepaperReliability
Lambda and DynamoDB create a foundation for consistent, uninterrupted operations. Lambda distributes workloads across multiple Availability Zones, providing built-in fault tolerance and automatic scaling for varying demands. DynamoDB enhances this reliability through multi-Region replication, automatic scaling, and comprehensive backup capabilities so that data remains accessible and protected even during system failures.
Read the Reliability whitepaperPerformance Efficiency
Lambda and DynamoDB deliver optimal performance through intelligent resource utilization. Lambda executes backend logic only when triggered, eliminating idle resource consumption. DynamoDB provides fast data access through built-in caching and indexing, enabling rapid retrieval of information while automatically scaling to match user demand patterns.
Read the Performance Efficiency whitepaperCost Optimization
OpenSearch Serverless eliminates unnecessary spending through dynamic resource allocation. By automatically scaling OpenSearch Compute Units based on actual usage patterns, resources are provisioned only when needed. This approach prevents overprovisioning while maintaining responsiveness during peak traffic periods.
Read the Cost Optimization whitepaperSustainability
Amazon S3 Intelligent-Tiering reduces environmental impact through smart data storage management. The automated movement of data between storage tiers based on access patterns optimizes energy consumption without compromising accessibility. When data becomes less frequently accessed, it automatically transitions to lower-energy tiers, minimizing the carbon footprint of long-term data storage.
Read the Sustainability whitepaperDisclaimer
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