InfraTales Rideshare Location Consistency is a production-ready reference architecture designed for real-time rideshare location consistency on AWS. This platform efficiently handles the synchronization of driver location data across multiple AWS regions, supporting 156,000 drivers in 45 cities. Utilizing AWS CDK for Terraform (CDKTF), it ensures real-time location updates with sub-second latency, processing up to 5,200 updates per second.

Key Features

• Infrastructure as Code (IaC): Built using CDKTF, allowing infrastructure to be defined in TypeScript.
• Multi-region Deployment: Ensures high availability and data consistency across multiple AWS regions.
• Advanced AWS Services: Integrates IoT Core for message handling, DynamoDB Global Tables for data storage, ElastiCache for geospatial indexing, and Neptune for graph database functionalities.
• Event-driven Architecture: Reacts to location changes in real-time, ensuring efficient driver-rider matching.
• Self-healing Systems: Automated drift detection and correction mechanisms maintain data integrity.

This architecture is ideal for building scalable, reliable, and efficient rideshare platforms like Uber or Lyft, addressing challenges such as high throughput, low latency, global scale, and data consistency.