StreamForge

A concurrent media processing platform built with Go.

StreamForge is an open-source backend engineering project focused on designing and building a scalable, asynchronous media processing system using modern Go ecosystem technologies.

The project explores real-world backend concepts such as concurrency, worker pools, message-driven architecture, background job processing, and distributed state management.

🚧 StreamForge is currently under active development.

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Overview

StreamForge allows users to submit media processing tasks through a simple API.

The system is designed to handle long-running tasks asynchronously by distributing workloads across concurrent workers and providing real-time processing status updates.

The main goal of this project is to demonstrate practical backend engineering patterns using Go.

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Goals

The project focuses on:

• Building scalable backend services with Go
• Understanding concurrency patterns and worker pools
• Designing asynchronous processing workflows
• Implementing queue-based architectures
• Managing application state efficiently
• Applying production-oriented engineering practices

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Tech Stack

Backend

• Go
• Gin Web Framework

Database

• PostgreSQL

Cache & State Management

• Redis

Message Broker

• RabbitMQ

Infrastructure

• Docker
• Docker Compose

API & Documentation

• REST API
• OpenAPI / Swagger

Testing

• Go testing package

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Architecture Overview

StreamForge follows a modular monolith architecture with clear domain boundaries.

The architecture is designed to support future evolution into independently deployable services if required.

High-level flow:

Client
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Gin API
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Create Processing Job
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RabbitMQ Queue
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Worker Pool
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Concurrent Processing
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PostgreSQL + Redis
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Real-time Progress Updates

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Planned Features

Core Features

• RESTful API service
• User authentication
• Media processing jobs
• Background job execution
• Concurrent worker pool
• RabbitMQ-based task queue
• Redis-based progress tracking
• PostgreSQL persistence
• Real-time progress updates

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Engineering Concepts

This project explores:

Go Concurrency

Using:

• Goroutines
• Channels
• Worker pools
• Context cancellation
• Synchronization patterns

Asynchronous Processing

Using message-driven workflows:

API
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Message Queue
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Workers
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Processing Tasks

Backend System Design

Focus areas:

• Clean architecture
• Separation of concerns
• Error handling
• Scalability
• Maintainability

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Project Structure

The planned structure:

streamforge/

├── cmd/
│   └── api/

├── internal/
│
│   ├── auth/
│   ├── jobs/
│   ├── media/
│   ├── worker/
│   ├── queue/
│   ├── cache/
│   ├── database/
│   └── api/

├── migrations/

├── docs/

├── docker-compose.yml

├── Dockerfile

└── README.md

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Development Roadmap

Phase 1 — Foundation

• Project initialization
• Application configuration
• Database setup
• Basic API structure

Phase 2 — Core Backend

• Authentication
• Job management
• Database models
• REST API

Phase 3 — Async Processing

• RabbitMQ integration
• Worker pool implementation
• Concurrent processing

Phase 4 — Real-time Features

• Redis integration
• Progress tracking
• Server-Sent Events

Phase 5 — Production Improvements

• Testing
• CI/CD
• Documentation
• Observability

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Why StreamForge?

Modern backend systems frequently require handling long-running operations, background jobs, and concurrent workloads.

StreamForge is an attempt to explore these challenges using Go's strengths in simplicity, performance, and concurrency.

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License

MIT License