Hey devs! 👋
I recently built and open-sourced FastMedia Downloader, a full-stack platform designed to inspect and extract multimedia content from over 1,000 supported platforms (YouTube, TikTok, Instagram Reels, X/Twitter, SoundCloud, and more).
I wanted to share how I structured the project, the tech stack I selected, and how the microservices communicate with each other.
🏗️ Architecture & Tech Stack
The system is split into two independent, containerized microservices:
-
Backend (FastAPI + Python 3.11): Core orchestrator that manages asynchronous requests, media inspection, and conversion via custom wrappers around
yt-dlpandFFmpeg. - Frontend (Next.js + TypeScript + Tailwind CSS): Responsive, modern interface with multi-language support (i18n) and instant link parsing.
-
Infrastructure (Docker Compose): Ensures both services run in isolated environments for seamless local deployment (
docker-compose up). - DevOps & Security: Automated CI/CD pipelines via GitHub Actions, Dependabot vulnerability scanning, and Open Source Standard rulesets.
🛠️ Key Engineering Takeaways
Building this project helped me refine several practical patterns:
- Async Handling in FastAPI: Processing media metadata streams asynchronously to keep response times low.
-
Containerized System Dependencies: Encapsulating low-level binaries like
FFmpegdirectly inside isolated Docker containers without polluting the host environment. - Clean Open-Source Workflow: Structuring a production-ready repository with proper rulesets, issue templates, and community standards.
🔗 Source Code & Repository
The entire project is completely open-source. Feel free to inspect the code, run it locally, or contribute!
📌 GitHub Repository: https://github.com/Llamas126/fastmedia-downloader
I’d love to hear your feedback on the microservice structure, performance tips, or features you’d like to see added next!
Top comments (2)
Containerizing FFmpeg directly in Docker is a smart move—it makes setting up media tools so much cleaner without messing up the local environment.
Exactly! It simplifies deployment and avoids dependency issues on the host machine.