Event-driven maritime cargo matching platform built on AWS ECS Fargate microservices with AI-powered route optimization and real-time vessel tracking. CloudFront and WAF front an Application Load Balancer routing traffic through API Gateway to five containerized services: User, Vessel, Cargo, Tracking, and Payment. Lambda functions invoke SageMaker ML models for AI-driven cargo-to-vessel matching and route optimization, while IoT Core ingests GPS data from vessels into Kinesis Data Streams for real-time analytics. RDS Aurora PostgreSQL stores transactional data, DynamoDB handles high-velocity cargo and tracking updates, and ElastiCache Redis accelerates cargo search queries. EventBridge orchestrates asynchronous workflows via Step Functions, SQS task queues, and SNS notifications, while S3 stores vessel documents and feeds Athena/QuickSight analytics dashboards. Comprehensive security with Cognito authentication, Secrets Manager for credentials, KMS encryption, GuardDuty threat detection, and CloudTrail audit logging ensures compliance for sensitive shipping operations. Fork this diagram on Diagrams.so to customize microservice boundaries, swap Aurora for DynamoDB Streams, or add Amazon Location Service for geofencing.