YouTube Backend Architecture

Scalable backend system design inspired by YouTube focusing on media processing and content delivery

Problem

Handling large-scale video uploads and streaming requires efficient storage, processing, and delivery systems.

Solution

Designed a backend architecture simulating video upload pipelines, processing workflows, and content delivery mechanisms.

System Flow

• • User uploads video
• • Video stored in cloud storage
• • Processing pipeline encodes video
• • Content delivered via CDN

Architecture

API Design

• • POST /upload → Upload video
• • GET /videos → Fetch videos

Data Modeling

• • Metadata storage for videos
• • Tracking processing states

System Highlights

• • Video processing pipeline design
• • Distributed storage planning
• • High-level system design

Technical Decisions

• • Separated storage and processing layers
• • Used pipeline approach for scalability

Scalability

• • Designed for high concurrency
• • CDN-based content delivery

Challenges

• • Handling large file uploads
• • Designing scalable pipelines

Trade-offs

• • High infrastructure complexity
• • Cost vs performance trade-offs

Outcome

Developed understanding of large-scale system design principles.

What I Learned

• • Designing media pipelines
• • Understanding distributed storage systems