Social Network Backend (Go, PostgreSQL, Redis, RabbitMQ, Elasticsearch, Boto3) overview

A high-throughput social network backend handling user graphs, activity feeds, content moderation, and notification fanout at scale. Go services provide low-latency API endpoints for posting, following, and feed retrieval with efficient goroutine-based concurrency. PostgreSQL stores user profiles, social graphs, and content with partitioned tables for time-series feed data. RabbitMQ handles asynchronous fanout of posts to follower feeds and notification delivery pipelines. Redis powers the timeline cache, online presence tracking, and trending topic computation. Elasticsearch indexes user profiles and posts for discovery search. Boto3 manages media uploads for photos and videos. The tradeoff is feed generation latency for users with millions of followers and content moderation pipeline throughput.