News Crawler Pipeline
Data PipelineScheduled scraping with URL queuing, content storage, search indexing, and CDN-cached API
7 nodes8 connections
Use Case
Web crawlers, content aggregation, search indexing
Stack Breakdown
SchedulerWorkersRedisMongoDBElasticsearchFastAPI
Architecture Layers
1Scheduling
2Worker Pool
3Queue
4Storage
5Search Index
6API
Components by Category
async
SchedulerRedis Queue
backend
Worker ServiceFastAPI
database
MongoDBElasticsearch
infra
CDN
Why This Topology Works
Scheduler distributes crawl jobs across workers via Redis queue. MongoDB stores raw content while Elasticsearch indexes for fast retrieval. CDN caches API responses.
Scaling Notes
Workers scale based on queue depth. MongoDB shards by domain for write distribution. Elasticsearch replicas handle search traffic.
Observability
Crawl success rate per domain. Queue processing latency. Elasticsearch indexing lag monitoring.