Distributed Job Queue

Built to handle background tasks at scale, this system focuses on reliability and observability. It uses NATS JetStream for the message backbone, providing durable storage and consumer tracking.

Exactly-Once Processing

By combining NATS acknowledgments with a PostgreSQL persistence layer for job metadata, we can guarantee that no job is double-processed even in the event of worker crashes.

Worker Dashboard

I built a real-time monitor that tracks worker health, queue depth, and job latency, allowing for rapid detection of bottlenecks in the background processing pipeline.