Video Processing Service

YouTube Clone

Built a video upload and processing service to understand how platforms like YouTube handle video at scale. Users can upload videos, they get processed and stored, then streamed back to viewers.

Node.js Express Google Cloud Firebase Docker

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Timeline

Personal Project

Type

Learning Project

Focus

Cloud Architecture

How It Works

The Challenge

Video processing is complex. Raw video files are huge, need transcoding to different formats, and require efficient storage and streaming. Wanted to understand how this works at scale.

The Solution

Built a microservices architecture where users upload videos, a processing service transcodes them using FFmpeg, stores the results in Google Cloud Storage, and serves them through a web interface.

Video Upload

Users can upload video files through a web interface with progress tracking and error handling.

Cloud Processing

Videos get processed in the cloud using Google Cloud Run and FFmpeg for format conversion.

Streaming Playback

Processed videos are served efficiently with adaptive quality based on user connection.

Architecture

Upload Service

Next.js frontend handles file uploads with Firebase authentication. Direct uploads to Google Cloud Storage for efficiency.

Processing Pipeline

Cloud Run containers with FFmpeg transcode videos to multiple formats and resolutions. Queue-based processing for scalability.

Storage & CDN

Google Cloud Storage for video files with CDN for global distribution. Firebase for metadata and user management.

What I Learned

Video Processing

Understanding codecs, transcoding, and the complexity of handling video at different qualities and formats.

Cloud Architecture

Designing scalable systems using cloud services, managing costs, and handling failures gracefully.

Performance Optimization

Learned about CDNs, caching strategies, and how to serve video content efficiently to users worldwide.