About This Architecture

Multi-AZ XML record extraction and editing architecture leveraging AWS EC2, RDS PostgreSQL, Lambda, and ElastiCache for high-availability document processing. Web requests flow through CloudFront CDN and WAF to an Application Load Balancer distributing traffic across EC2 instances running PHP-based XML retrieval, DOM conversion, XSD validation, and XSLT transformation modules. PostgreSQL Primary in AZ-1 replicates to a Standby in AZ-2 for failover resilience, while ElastiCache caches XSD schemas and S3 stores schema definitions; asynchronous XML processing jobs queue through SQS to Lambda for background transformation. This architecture demonstrates enterprise-grade security, scalability, and fault tolerance for metadata-driven XML editing workflows serving external SRU endpoints. Fork this diagram on Diagrams.so to customize subnets, instance types, or add additional AWS services like API Gateway or DynamoDB. The design balances synchronous request handling with asynchronous batch processing, ideal for library systems, metadata repositories, or document management platforms.

People also ask

How do I design a scalable AWS architecture for XML record extraction and editing with high availability and asynchronous processing?

This diagram shows a multi-AZ AWS architecture using EC2 instances for synchronous XML retrieval and transformation, RDS PostgreSQL for primary-standby replication, ElastiCache for XSD schema caching, and SQS-to-Lambda for asynchronous batch processing. WAF and ALB provide security and load balancing, while CloudFront CDN accelerates content delivery to web clients.