⚠️ Work in Progress — This project is under active development and not ready for production yet.

🚀 Ultra-lightweight Queue Engine in Go

An ultra-lightweight queue engine, written in Golang, designed to support thousands of sequential queues with high performance, low memory usage, and reliable persistence.

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🎯 Goal

This project aims to create a simple, fast, and independent queue solution — without relying on complex external systems like RabbitMQ or Kafka.
The goal is to achieve an architecture capable of handling millions of messages per second, focusing on:

• ⚡ Extreme efficiency: minimal overhead per queue.
• 🧱 Horizontal scalability: native support for thousands of concurrent queues.
• 🎛️ Efficient batch processing: a publisher and consumer designed to work in batches, maximizing performance and resource utilization.
• 🚀 Ultra-low latency & high throughput: optimized communication for near real-time processing at massive scale.
• 💾 Reliable persistence: no message loss, even under failure conditions.
• 🧩 Simplicity: easy to use, embed, and understand.

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🧩 Current State

The project is in an early development stage — currently defining the architecture and building the first prototypes.
The core is being written entirely in Go, focusing on performance and code clarity.

⚠️ This repository is not ready for production yet, but contributions and ideas are welcome!

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🤝 Contributing

Want to help build a modern, simple, and powerful open-source queue engine?

• Fork the repository
• Send PRs with improvements, ideas, or fixes
• Open issues to discuss architecture, API design, or optimizations
• Even small contributions are valuable — documentation, benchmarks, tests, or design feedback

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🔮 Roadmap (initial vision)

• Basic in-memory queue structure
• Simple disk persistence
• Efficient consumption
• Multiple consumers
• Basic monitoring (metrics)
• Benchmark and comparison with other solutions
• Optional CLI / REST API interface

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💡 Philosophy

“Less protocol, more purpose.”

Most modern queue systems are designed to solve every possible problem — but in doing so, they carry a significant cost in complexity and overhead.
Protocols, brokers, network layers, replication — all of these have a price, often paid in latency and resource consumption.

This project takes a different path:
focus on pure performance and a clear purpose — to create and manage thousands of sequential queues with minimal client impact and no unnecessary dependencies.

Each queue is simple, predictable, and direct — it processes messages in order, respects available resources, and requires no heavy infrastructure.

The result is a transparent, optimized, and efficient queue engine — built to solve a specific problem with clarity and total control.

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🧠 Technologies

• 🐹 Golang — main programming language
• 💾 Local storage / in-memory (optional) — for persistence and shared state
• 🧩 Modular architecture — for easy future extension