Multi-Service API Platform

Overview

A comprehensive multi-service API platform that provides unified access to various services including AI capabilities, media processing, and third-party integrations. Built with a modern tech stack featuring Go for the backend and Next.js for the frontend, this project showcases enterprise-level API development practices with scalability and security in mind.

Purpose

The project aims to:

Provide unified API gateway for multiple service integrations
Demonstrate robust, scalable API architecture with security best practices
Showcase modern full-stack development with Go and Next.js
Offer clean, well-documented API interfaces for developers
Support easy addition of new API services and endpoints

Tech Stack

This project leverages modern technologies across the stack:

Backend

Go - High-performance backend with efficient concurrency
Fiber Framework - Express-inspired web framework for Go
Third-party APIs - AI services, media platforms, and more
Docker - Containerization for deployment

Frontend

Next.js 15 - React framework with App Router
TypeScript - Type-safe development
Tailwind CSS - Modern styling framework
Shadcn/ui - Beautiful UI components

Features

Available API Services

AI Integration (GPT-4)
- Text generation and completion
- Configurable model parameters
- Streaming responses support
- AI-specific rate limiting
TikTok Media Services
- Video content retrieval
- No watermark download
- Metadata extraction
- High-quality media serving

Infrastructure

Rate Limiting
- Per-endpoint rate limits
- AI-specific limiting to prevent abuse
- Configurable thresholds
Middleware Stack
- CORS configuration
- Request logging
- Health check endpoints
- Error handling
Configuration Management
- YAML-based configuration
- Environment-specific settings
- Secure API key management

Frontend Features

Interactive Documentation
- API endpoint explorer
- Request/response examples
- Real-time API testing
- Code snippets for multiple languages
Status Dashboard
- Service health monitoring
- API status indicators
- Response time tracking
Modern UI/UX
- Responsive design
- Dark mode support
- Clean, developer-friendly interface

Architecture

The project follows a clean architecture pattern:

Backend (Go)
├── cmd/api/          # Application entry point
├── internal/
│   ├── config/       # Configuration management
│   ├── handler/      # HTTP handlers
│   ├── middleware/   # Custom middleware
│   ├── models/       # Data models
│   ├── service/      # Business logic
│   └── router/       # Route definitions

Frontend (Next.js)
├── src/
│   ├── app/          # App Router pages
│   ├── components/   # Reusable components
│   └── lib/          # Utilities

API Endpoints

Health Check

GET https://api.zumlabs.tech/v1/health
GET https://api.zumlabs.tech/v1/status
GET https://api.zumlabs.tech/v1/activity

AI Services

GET https://api.zumlabs.tech/v1/gpt4?prompt=your_prompt

Media Services

GET https://api.zumlabs.tech/v1/media/tiktok?url=tiktok_url
POST https://api.zumlabs.tech/v1/media/tiktok

Development Highlights

Type Safety: Full TypeScript implementation on frontend
Error Handling: Comprehensive error responses and logging
Security: Rate limiting, CORS, and API key validation
Documentation: Self-documenting API with interactive docs
Deployment: Docker-ready with production configurations

Lessons Learned

Building this API platform provided valuable insights into:

Designing scalable, modular API architectures
Implementing effective rate limiting and security strategies
Managing multiple third-party service integrations
Creating developer-friendly documentation and interfaces
Balancing performance, security, and maintainability
Building extensible systems for easy service additions

Future Enhancements

Planned improvements include:

WebSocket support for real-time features
Expanded service integrations (payment, storage, communication, etc.)
Advanced analytics and usage tracking dashboard
API key management and user authentication system
Webhook support for event notifications
GraphQL API support alongside REST
Automated API documentation generation