About This Architecture

AWS AI Test Case Generation Platform uses Claude LLM via Bedrock to automatically generate and validate test cases at scale. Traffic flows through CloudFront and ALB into API Gateway with Cognito authentication, then routes to Lambda functions orchestrated by Step Functions that invoke Bedrock for AI-driven test generation. The architecture spans multiple availability zones with private subnets for AI, application, and data layers, leveraging S3, DynamoDB global tables, and cross-region replication for resilience and compliance. Fork this diagram to customize Bedrock model selection, add additional Lambda validators, or adjust SQS concurrency for your test workload. Security is enforced through WAF, Shield DDoS protection, KMS encryption, and comprehensive audit logging via CloudWatch and CloudTrail.

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How do I build a scalable AI-powered test case generation platform on AWS using Bedrock and Lambda?

This diagram shows a production-grade AWS architecture that uses Bedrock's Claude LLM to generate test cases via Lambda functions orchestrated by Step Functions, with results cached in DynamoDB and stored in S3 across multiple availability zones. The design includes API Gateway with Cognito authentication, CloudFront CDN for performance, WAF and Shield for security, and cross-region replication fo