About This Architecture

Prepify's call-and-return architecture spans two AWS availability zones with Flask servers fronted by WAF and Application Load Balancers, routing requests to Lambda microservices (Plan Generator, Task Manager) and Fargate-based Analytics Engine. Data flows through RDS Primary/Standby for relational storage, DynamoDB for session management, S3 for study plans, and ElastiCache Redis for caching, all secured by Cognito authentication and Secrets Manager. This design demonstrates fault tolerance, auto-scaling, and separation of concerns across compute, storage, and security layers. Fork and customize this diagram on Diagrams.so to adapt the topology for your own multi-tier AWS workloads. The dual-AZ setup with synchronized data stores ensures business continuity and meets production SLA requirements.

People also ask

How do I design a highly available AWS architecture with Flask servers, Lambda microservices, and multi-AZ RDS replication?

Prepify's architecture uses two availability zones with Flask t3.medium servers behind WAF and ALB, routing to Lambda (Plan Generator, Task Manager) and Fargate (Analytics Engine). RDS Primary/Standby replication, DynamoDB for sessions, S3 for storage, and ElastiCache Redis for caching ensure fault tolerance and performance across AZs.