About This Architecture

Multi-tier search engine architecture aggregates content from VideoAggregatorSource and KindleAggregatorSource through a centralized SearchEngine Service. Users access the system through a CDN and WAF, with requests load-balanced to the Application Tier where the SearchEngine Service orchestrates queries across video and Kindle metadata sources. VideoDiscoverySuggestionSource and EntitledKindleSuggestionSource provide personalized recommendations by querying Video Metadata DB and Kindle Metadata DB respectively, while Cache layers User Preferences DB for performance. This pattern demonstrates federated search with content-specific aggregators, ideal for platforms unifying disparate media catalogs. Fork this diagram on Diagrams.so to customize aggregator sources, add authentication flows, or model your own multi-source search architecture.

People also ask

How do you design a search engine that aggregates content from multiple sources like video and ebooks?

Use a three-tier architecture with a central SearchEngine Service that orchestrates queries to content-specific aggregators like VideoAggregatorSource and KindleAggregatorSource. Each aggregator connects to discovery/suggestion sources querying dedicated metadata databases, with caching for user preferences and CDN/WAF for security and performance.