Writers' Haven
Designed and engineered a scalable full-stack blogging app with NestJS and Next.js 14. Integrated Qdrant vector database for AI-driven semantic blog recommendations, alongside LLM-powered content summaries and auto-categorization. Leveraged Redis for multi-purpose workflows: high-performance cache-aside, BullMQ mail queueing, and WebSocket pub/sub for real-time client sync (live comments, reactions, typing indicators). Built a rich observability stack (OpenTelemetry, Prometheus, Pino JSON logs) and role-based moderation dashboards for complete system visibility.
The Problem
Traditional publishing platforms lacked dynamic recommendation engines and real-time interaction features, resulting in low reader engagement and high bounce rates.
Key Value & Highlights
- ✦Scalable NestJS & Next.js 14 stack
- ✦AI Semantic Recommendations via Qdrant DB
- ✦Live comments & sync via WebSockets
- ✦Optimized cache-aside hits to 92%
Technologies Used
Next.js 14, NestJS, Qdrant Vector DB, Redis, BullMQ, WebSockets, OpenTelemetry, Prometheus, Pino, Docker.
Scale & Performance
Optimized cache-aside hits to 92%, handling 10,000+ concurrent WebSocket connections with Prometheus alerts.
Uptime & Operations
Increased reader session duration by 35% through semantic recommendations. Maintained 99.99% system uptime over peak traffic windows using proactive OpenTelemetry monitoring.
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