Video Processing Pipeline
Containerized video processing application with queue-based job processing for high-volume transcoding.
Overview
Built a scalable video processing pipeline that handles video uploads, transcoding to multiple formats, and CDN delivery. The system processes thousands of videos daily using Docker containers and queue-based architecture.
The Challenge
Processing large video files efficiently while maintaining quality and providing real-time progress updates to users.
The Solution
Implemented a microservices architecture with separate containers for different processing stages. Used FFmpeg for transcoding and Redis for job queuing with progress tracking.
Key Features
Technologies Used
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