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Distributed Task Queue
Scalable task processing system handling 100K+ jobs daily
Built for Konoz Retaj to handle background processing across multiple applications. The system needed to be reliable, scalable, and observable.
Uses Redis for queue management with PostgreSQL for task persistence and audit logging. Worker pools scale automatically based on queue depth.
What came out of it
- 01Processes 100K+ jobs daily across 10+ applications
- 0299.9% job completion rate with automatic retries
- 03Auto-scaling workers based on queue depth
- 04Real-time monitoring with Grafana dashboards