About This Architecture

Multi-tier AWS web application architecture combines user-facing load balancing with automated regulatory data ingestion from US FDA sources. Internet Gateway routes user traffic through Application Load Balancer to Frontend EC2 (t3.medium) and Backend EC2 (t3.large) instances across public and private subnets, both connecting to RDS PostgreSQL (db.t3.medium) for persistent storage. Lambda Scraper function pulls FDA data, processes it via AWS Bedrock for AI-enhanced analysis, and writes to the shared database while Backend EC2 manages S3 Bucket storage for company assets and PDFs. CloudWatch Logs captures application telemetry from both EC2 tiers, enabling AWS architects to monitor performance, troubleshoot issues, and optimize resource allocation. Fork this diagram on Diagrams.so to customize subnet topology, adjust instance types, or add Auto Scaling groups for production workloads.

People also ask

How do I design an AWS web application architecture that ingests external regulatory data using Lambda and Bedrock?

Deploy a multi-tier AWS architecture with Application Load Balancer distributing traffic to Frontend and Backend EC2 instances connected to RDS PostgreSQL, while a Lambda Scraper function pulls US FDA data, processes it through AWS Bedrock, and writes to the database. This diagram shows VPC subnet isolation, CloudWatch monitoring, and S3 storage integration.