About This Architecture

Multi-tier news aggregation platform combines scheduled data collection with AI-powered summarization for automotive industry content. A 4-hour cron scheduler triggers the News Aggregation Service to fetch articles from Indian News Sources and Global News Sources, storing raw content in Object Storage and structured data in News Database. The AI Summary Service processes articles on-demand through API Gateway, caching results in Redis for fast retrieval while Web Server 1 and Web Server 2 behind Load Balancer serve users via CDN. This architecture demonstrates event-driven content processing with separation of concerns between data ingestion, AI transformation, and content delivery, enabling automotive professionals to stay current without manual curation. Fork this diagram on Diagrams.so to customize scheduling intervals, add content sources, or integrate alternative AI models for domain-specific summarization.

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How do you architect a scalable news aggregation platform with AI summarization and scheduled content updates?

Use a multi-tier architecture with scheduled cron jobs triggering News Aggregation Service to fetch content, AI Summary Service for on-demand processing with Redis caching, and CDN-backed web servers behind a load balancer. This diagram shows the complete data flow from multiple news sources through Object Storage and News Database to end users.