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HLDsystem_design~12 mins

Why video streaming handles massive data in HLD - Architecture Impact

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System Overview - Why video streaming handles massive data

This system streams video content to millions of users worldwide. It must handle large amounts of data efficiently to provide smooth playback without delays or buffering.

Key requirements include fast content delivery, scalability to support many users, and reliability to avoid interruptions.

Architecture Diagram
CDN Edge Server
↓
Load Balancer
↓
API Gateway
↓
Video Streaming Service
↓
Cache Layer
↓
Video Storage (Blob Storage)
↓
Metadata Database
Components
User
client
Requests and plays video content
CDN Edge Server
cdn
Delivers cached video content close to users to reduce latency and bandwidth
Load Balancer
load_balancer
Distributes incoming requests evenly across streaming service instances
API Gateway
api_gateway
Manages API requests, authentication, and routing to services
Video Streaming Service
service
Handles video streaming logic, user sessions, and content delivery
Cache Layer
cache
Stores frequently accessed video segments to reduce storage reads
Video Storage (Blob Storage)
storage
Stores large video files and segments persistently
Metadata Database
database
Stores video metadata like titles, descriptions, and user data
Request Flow - 12 Hops
User → CDN Edge Server
CDN Edge Server → Load Balancer
Load Balancer → API Gateway
API Gateway → Video Streaming Service
Video Streaming Service → Cache Layer
Cache Layer → Video Streaming Service
Video Streaming Service → Video Storage (Blob Storage)
Video Streaming Service → Cache Layer
Video Streaming Service → API Gateway
API Gateway → Load Balancer
Load Balancer → CDN Edge Server
CDN Edge Server → User
Failure Scenario
Component Fails:Cache Layer
Impact:Increased latency as video segments must be fetched directly from storage, causing slower streaming and possible buffering
Mitigation:System falls back to fetching from video storage; scaling cache capacity and replication can reduce failure impact
Architecture Quiz - 3 Questions
Test your understanding
Which component reduces latency by delivering video content close to users?
ACDN Edge Server
BAPI Gateway
CLoad Balancer
DMetadata Database
Design Principle
This architecture uses caching and content delivery networks to handle massive video data efficiently. By caching popular video segments close to users and balancing load across services, the system reduces latency and scales to millions of users smoothly.