Go Queue - Job Processing System

Project Overview

Go Queue is a robust, fault-tolerant job processing system designed for high-volume enterprise workloads. Built with Go and Redis, this system demonstrates best practices in designing cloud-native, highly available microservices with a focus on reliability and observability.

📑 Project Development Plan - View our complete development roadmap

🚀 Key Features

• High Throughput Job Processing: Capable of handling thousands of jobs per second with configurable concurrency
• Resilient Architecture: Implements retry mechanisms, exponential backoff, and circuit breakers
• High Availability: Designed for zero downtime operation across multiple availability zones
• Full Observability: Comprehensive metrics, logging, and distributed tracing
• Cloud Native: Kubernetes-ready with proven scalability in production environments
• Developer-Friendly: Clean API design with clear documentation and examples

💻 Engineering Excellence

Our team has implemented several sophisticated engineering practices in this project:

• Advanced Concurrency Patterns: Leveraging Go's goroutines and channels for efficient parallel job processing
• Production-Grade Resilience: Circuit breakers, dead letter queues, and intelligent backoff strategies
• Infrastructure as Code: Complete Kubernetes manifests for declarative deployments
• CI/CD Pipeline: Automated testing and deployment workflows
• Extensive Test Coverage: Unit, integration, and end-to-end tests

🏗️ Architecture

The system consists of two primary microservices:

1. API Service: RESTful interface for job submission and status checking
2. Worker Service: Scalable processor for handling background jobs

Both services are backed by Redis for job queuing and state management, with options for Redis Sentinel or Cluster for high availability.

┌───────────┐     ┌─────────┐     ┌──────────┐
│  Clients  │────▶│   API   │────▶│  Redis   │
└───────────┘     └─────────┘     └────┬─────┘
                                       │
                                       ▼
                                  ┌─────────┐
                                  │ Workers │
                                  └─────────┘

🌟 Current Status

• Phase 6.5: GCP deployment with Kubernetes, Redis HA, and comprehensive observability
• In Progress: Final optimizations for GCP deployment and cost management
• Next: Phase 7 implementation for additional enterprise features

🛠️ Quick Start

Documentation for local development setup and usage coming soon.

📋 Environment Configuration

API Service

• REDIS_ADDR — Redis server address (default: redis:6379)
• API_PORT — Port for the API server (default: 8080)

Worker Service

• REDIS_ADDR — Redis server address (default: redis:6379)
• Additional worker-specific configurations available in documentation

📊 Monitoring & Observability

The system is instrumented with:

• Prometheus metrics for real-time monitoring
• OpenTelemetry for distributed tracing
• Structured logging with configurable levels

📚 Documentation

Comprehensive documentation is available in the docs/ directory:

• Deployment guides for Kubernetes and GCP
• Observability implementation details
• High availability testing procedures
• Redis connection troubleshooting

📄 License

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