completedAPI ServiceFeatured

Distributed Task Queue System

High-performance async task processing

Code

Completed 12/15/2023

3 team members

My Role: Lead Developer

Real-time monitoring dashboard showing task processing metrics

Project Overview

This project addresses the need for reliable background job processing in distributed systems. Built from the ground up with performance and reliability in mind, it features horizontal scaling, task prioritization, and comprehensive monitoring. The system has been battle-tested in production environments handling critical business processes.

Impact & Results

Reduced task processing latency by 60% and increased system reliability to 99.9% uptime

Key Features

High Throughput

Processes 100,000+ tasks per minute with horizontal scaling

Reliability

Automatic retry with exponential backoff and dead letter queues

Monitoring

Real-time metrics and alerting with Prometheus integration

Technical Challenges

Ensuring exactly-once delivery semantics in a distributed environment
Handling graceful shutdowns without losing in-flight tasks
Optimizing Redis usage patterns for high-throughput scenarios

Solutions Implemented

Implemented idempotency keys and distributed locking mechanisms
Built graceful shutdown handlers with task completion tracking
Used Redis pipelines and connection pooling for optimal performance

Project Gallery

High-level architecture overview

Technology Stack

Backend

GoRedisPostgreSQLgRPC

Infrastructure

DockerKubernetesPrometheusGrafana

Testing

Go TestingTestifyDocker Compose