2024•Full-Stack Engineer•4 months
Distributed Task Queue
High-performance job processing at scale
Role
Full-Stack Engineer
Timeline
4 months
Year
2024
Stack
Go
Redis
PostgreSQL
Overview
Built a distributed task queue system handling 10M+ jobs daily with Redis-backed persistence, automatic retries, and horizontal scaling capabilities.
The Challenge
The existing task processing system couldn't handle peak loads, leading to job failures and delayed processing times.
The Solution
Designed and implemented a distributed queue with worker pools, priority queues, and automatic scaling based on queue depth.
Results & Impact
Reduced processing time by 80%, achieved 99.9% reliability, and enabled horizontal scaling to handle 10M+ daily jobs.
Key Learnings
Deep dive into distributed systems, Redis pub/sub, and graceful degradation patterns.
Technology Stack
Go
Redis
PostgreSQL
Docker
Kubernetes