Distributed Job Processing Platform

Distributed Job Processing Platform with Real-Time Operational Dashboard

This project delivers a fault-tolerant backend system for managing background tasks across distributed environments. It features a real-time monitoring dashboard that provides live visibility into queues, workers, retries, and recovery processes.

Key Technologies:
#golang #redis #postgresql #websocket #dashboard #backend #distributed-systems

Core Features:

Task queue orchestration with support for delayed jobs and retry logic
Worker coordination and heartbeat tracking
Scheduler for recurring and deferred tasks
Redis-based event bus for internal messaging
PostgreSQL persistence layer for job state and metadata
RESTful API for full job lifecycle management
Real-time dashboard with live transport via WebSocket/SSE

Observability layer for queue health, worker status, and execution metrics
This project showcases expertise in building resilient backend architectures, handling concurrency, orchestrating distributed queues, coordinating services, and designing production-grade dashboard interfaces.