๐ฌ Netflix Frontend Design
R - Requirements (15%)โ
Functional Requirementsโ
- Content Browsing: 15,000+ titles, personalized rows, infinite scroll
- Video Streaming: Adaptive bitrate (240p-4K), HDR support, 5.1 audio
- User Profiles: Up to 5 profiles per account, parental controls, viewing history
- Search & Discovery: Real-time search, genre filtering, trending content
- Recommendations: ML-powered personalization, 80% of viewing from recommendations
- Offline Downloads: Mobile/tablet support, up to 100 downloads per device
- Multi-device Sync: Continue watching across devices, simultaneous streams
Non-Functional Requirementsโ
- Scale: 230M+ subscribers, 1B+ hours watched daily
- Performance: <3s page load, <10s video start time, 99.9% uptime
- Quality: Adaptive streaming, <1% rebuffering rate
- Global: 190+ countries, 30+ languages, regional content
- Accessibility: Audio descriptions, subtitles in 20+ languages
A - Architecture (20%)โ
Netflix's Real Architectureโ
Open Connect CDN
- 17,000+ servers in 1,000+ locations
- 95% of traffic served from ISP networks
- Custom appliances at ISP locations
- Predictive caching based on viewing patterns
Microservices Architecture
- 700+ microservices
- Service mesh with Zuul gateway
- Hystrix for circuit breaking
- Eureka for service discovery
Video Delivery Pipeline
// Netflix's Streaming Architecture
interface StreamingPipeline {
encoding: 'Multiple bitrates (240p-4K), VP9/H.264/AV1';
packaging: 'DASH/HLS adaptive streaming';
encryption: 'Widevine/PlayReady/FairPlay DRM';
delivery: 'Open Connect CDN';
adaptation: 'Client-side ABR algorithm';
}
D - Data Model (10%)โ
// Netflix Content Structure
interface NetflixContent {
id: string; // Unique content ID
type: 'movie' | 'series' | 'documentary' | 'standup';
title: string;
description: string;
releaseYear: number;
duration?: number; // For movies (minutes)
seasons?: Season[]; // For series
genres: Genre[];
maturityRating: string; // G, PG, PG-13, R, etc.
languages: Language[];
subtitles: Language[];
audioTracks: AudioTrack[];
// Metadata for recommendations
cast: Person[];
directors: Person[];
producers: Person[];
tags: string[]; // Internal tagging for ML
// Streaming data
videoFiles: VideoFile[]; // Different quality versions
thumbnails: Thumbnail[]; // Various sizes and timestamps
trailers: VideoFile[];
// Regional availability
regions: string[]; // Country codes where available
licensingInfo: LicensingInfo;
}
// Video File Structure
interface VideoFile {
quality: '240p' | '360p' | '480p' | '720p' | '1080p' | '4K';
bitrate: number; // kbps
codec: 'H.264' | 'H.265' | 'VP9' | 'AV1';
url: string; // CDN URL
fileSize: number; // bytes
checksum: string; // For integrity verification
drmProtected: boolean;
}
// User Profile & Viewing Data
interface UserProfile {
id: string;
name: string;
avatar: string;
isKids: boolean;
language: string;
maturityLevel: string;
// Viewing behavior
watchHistory: ViewingRecord[];
myList: string[]; // Saved content IDs
ratings: Rating[]; // User ratings
preferences: UserPreferences;
// Recommendation data
genrePreferences: GenreWeight[];
actorPreferences: PersonWeight[];
viewingPatterns: ViewingPattern[];
}
// Viewing Analytics
interface ViewingRecord {
contentId: string;
profileId: string;
startTime: number;
endTime: number;
watchedDuration: number; // seconds
totalDuration: number; // seconds
completionRate: number; // 0-1
device: DeviceInfo;
quality: string;
bandwidth: number; // kbps
rebufferEvents: RebufferEvent[];
pauseEvents: PauseEvent[];
}
// Recommendation Engine Data
interface RecommendationContext {
userId: string;
profileId: string;
timeOfDay: number;
dayOfWeek: number;
device: string;
location: string;
recentViewing: string[]; // Last 10 watched content IDs
currentMood?: 'comedy' | 'drama' | 'action' | 'documentary';
}
I - Interface (15%)โ
// Netflix Player API
interface NetflixPlayer {
// Playback control
play(): Promise<void>;
pause(): void;
seek(time: number): void;
setPlaybackRate(rate: number): void;
// Quality control
setQuality(quality: VideoQuality): void;
enableAutoQuality(): void;
getCurrentQuality(): VideoQuality;
getAvailableQualities(): VideoQuality[];
// Audio/Subtitle control
setAudioTrack(trackId: string): void;
setSubtitleTrack(trackId: string): void;
toggleSubtitles(): void;
// Events
onProgress(callback: (progress: PlaybackProgress) => void): void;
onQualityChange(callback: (quality: VideoQuality) => void): void;
onError(callback: (error: PlayerError) => void): void;
onBuffering(callback: (isBuffering: boolean) => void): void;
}
// Content Discovery API
interface ContentAPI {
// Browse content
getHomepage(profileId: string): Promise<ContentRow[]>;
getGenre(genreId: string, page: number): Promise<ContentPage>;
getTrending(region: string): Promise<Content[]>;
getNewReleases(): Promise<Content[]>;
// Search
search(query: string, filters?: SearchFilters): Promise<SearchResult[]>;
getSearchSuggestions(query: string): Promise<string[]>;
// Recommendations
getRecommendations(profileId: string, context: RecommendationContext): Promise<Content[]>;
getSimilarContent(contentId: string): Promise<Content[]>;
// User data
getMyList(profileId: string): Promise<Content[]>;
addToMyList(profileId: string, contentId: string): Promise<void>;
rateContent(profileId: string, contentId: string, rating: number): Promise<void>;
}
// Streaming Service Interface
interface StreamingService {
getManifest(contentId: string, profileId: string): Promise<StreamingManifest>;
getLicense(contentId: string, challenge: Uint8Array): Promise<Uint8Array>;
reportPlaybackStats(stats: PlaybackStats): void;
// Adaptive bitrate
selectInitialQuality(bandwidth: number, device: DeviceInfo): VideoQuality;
adaptQuality(currentStats: NetworkStats): VideoQuality;
}
// Component Interfaces
interface VideoPlayerProps {
contentId: string;
startTime?: number;
autoplay?: boolean;
onProgress: (progress: PlaybackProgress) => void;
onComplete: () => void;
onError: (error: PlayerError) => void;
}
interface ContentRowProps {
title: string;
contents: Content[];
rowType: 'trending' | 'recommendations' | 'genre' | 'continue-watching';
onContentClick: (contentId: string) => void;
onSeeAll?: () => void;
}
O - Optimizations (40%)โ
Streaming Performance Architectureโ
1. Adaptive Bitrate Algorithm
class NetflixABRAlgorithm {
private bandwidthHistory: number[] = [];
private bufferHealth: number = 0;
private currentQuality: VideoQuality;
// Netflix's custom ABR logic
selectQuality(networkStats: NetworkStats, deviceCapabilities: DeviceInfo): VideoQuality {
const bandwidth = this.estimateBandwidth(networkStats);
const bufferLevel = this.getBufferLevel();
// Conservative approach to avoid rebuffering
const safetyFactor = this.calculateSafetyFactor(bufferLevel);
const targetBitrate = bandwidth * safetyFactor;
// Consider device capabilities
const maxSupportedQuality = this.getMaxQuality(deviceCapabilities);
return this.selectOptimalQuality(targetBitrate, maxSupportedQuality);
}
// Bandwidth estimation with multiple algorithms
private estimateBandwidth(stats: NetworkStats): number {
// Combine throughput-based and latency-based estimates
const throughputEstimate = this.calculateThroughput(stats);
const latencyAdjustment = this.adjustForLatency(stats.latency);
return Math.min(throughputEstimate * latencyAdjustment, stats.maxBandwidth);
}
// Buffer-aware quality selection
private calculateSafetyFactor(bufferLevel: number): number {
if (bufferLevel < 10) return 0.7; // Conservative when buffer low
if (bufferLevel < 30) return 0.85; // Moderate safety margin
return 0.95; // Aggressive when buffer healthy
}
}
2. Predictive Caching System
class PredictiveCaching {
private viewingPatterns: Map<string, ViewingPattern>;
private popularContent: Set<string>;
// Predict what user might watch next
async predictNextContent(profileId: string): Promise<string[]> {
const userHistory = await this.getUserHistory(profileId);
const timeContext = this.getTimeContext();
const deviceContext = this.getDeviceContext();
// ML model inference for next content prediction
const predictions = await this.mlModel.predict({
userHistory,
timeContext,
deviceContext,
popularContent: Array.from(this.popularContent)
});
return predictions.slice(0, 10); // Top 10 predictions
}
// Preload content based on predictions
async preloadContent(contentIds: string[]): Promise<void> {
const preloadPromises = contentIds.map(async (contentId) => {
// Preload first few seconds of video
const manifest = await this.getStreamingManifest(contentId);
const initialSegments = manifest.segments.slice(0, 3); // First 30 seconds
return this.preloadSegments(initialSegments);
});
await Promise.allSettled(preloadPromises);
}
}
3. Content Delivery Optimization
class ContentDeliveryOptimizer {
private cdnNodes: CDNNode[];
private userLocation: GeolocationData;
// Select optimal CDN node
selectOptimalCDN(contentId: string): CDNNode {
const availableNodes = this.cdnNodes.filter(node =>
node.hasContent(contentId) && node.isHealthy()
);
return availableNodes.reduce((best, current) => {
const bestScore = this.calculateNodeScore(best);
const currentScore = this.calculateNodeScore(current);
return currentScore > bestScore ? current : best;
});
}
// CDN node scoring algorithm
private calculateNodeScore(node: CDNNode): number {
const latencyScore = 1 / (node.latency + 1); // Lower latency = higher score
const bandwidthScore = node.availableBandwidth / 1000; // Higher bandwidth = higher score
const loadScore = 1 / (node.currentLoad + 0.1); // Lower load = higher score
const proximityScore = 1 / (node.distance + 1); // Closer = higher score
return latencyScore * 0.3 + bandwidthScore * 0.3 + loadScore * 0.2 + proximityScore * 0.2;
}
// Failover mechanism
async handleCDNFailure(failedNode: CDNNode, contentId: string): Promise<void> {
// Remove failed node from rotation
this.markNodeAsUnhealthy(failedNode);
// Select backup node
const backupNode = this.selectOptimalCDN(contentId);
// Seamlessly switch streaming source
await this.switchStreamingSource(backupNode);
// Schedule health check for failed node
this.scheduleHealthCheck(failedNode);
}
}
4. UI Performance Optimization
class NetflixUIOptimizer {
private intersectionObserver: IntersectionObserver;
private imageCache = new Map<string, HTMLImageElement>();
// Lazy loading for content thumbnails
setupLazyLoading(): void {
this.intersectionObserver = new IntersectionObserver((entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
this.loadContentThumbnail(entry.target as HTMLElement);
}
});
}, { rootMargin: '100px' }); // Load 100px before entering viewport
}
// Progressive image loading
async loadContentThumbnail(element: HTMLElement): Promise<void> {
const contentId = element.dataset.contentId!;
const thumbnailUrl = element.dataset.thumbnailUrl!;
// Show low-quality placeholder first
const placeholder = await this.loadLowQualityImage(contentId);
element.style.backgroundImage = `url(${placeholder})`;
// Load high-quality image in background
const highQualityImage = await this.loadHighQualityImage(thumbnailUrl);
element.style.backgroundImage = `url(${highQualityImage.src})`;
}
// Virtual scrolling for large content lists
implementVirtualScrolling(container: HTMLElement, items: Content[]): void {
const itemHeight = 200; // Height of each content item
const containerHeight = container.clientHeight;
const visibleItems = Math.ceil(containerHeight / itemHeight) + 2; // Buffer
let scrollTop = 0;
container.addEventListener('scroll', () => {
scrollTop = container.scrollTop;
const startIndex = Math.floor(scrollTop / itemHeight);
const endIndex = Math.min(startIndex + visibleItems, items.length);
this.renderVisibleItems(items.slice(startIndex, endIndex), startIndex);
});
}
}
5. Recommendation Engine Optimization
class RecommendationOptimizer {
private modelCache = new Map<string, MLModel>();
private featureStore: FeatureStore;
// Real-time recommendation generation
async generateRecommendations(profileId: string, context: RecommendationContext): Promise<Content[]> {
// Get user features from feature store
const userFeatures = await this.featureStore.getUserFeatures(profileId);
const contextFeatures = this.extractContextFeatures(context);
// Use cached model for inference
const model = await this.getOrLoadModel('recommendation-v2');
// Generate recommendations
const scores = await model.predict({
userFeatures,
contextFeatures,
candidateContent: await this.getCandidateContent(profileId)
});
// Apply business rules and diversity
return this.applyBusinessRules(scores, context);
}
// A/B testing for recommendations
async getRecommendationVariant(profileId: string): Promise<RecommendationVariant> {
const userId = await this.getUserId(profileId);
const experimentConfig = await this.getExperimentConfig('rec-algorithm-test');
// Consistent assignment based on user ID
const variant = this.assignVariant(userId, experimentConfig);
return variant;
}
}
Netflix's Real-world Performanceโ
Streaming Metrics
- Video Start Time: <10s (95th percentile)
- Rebuffering Rate: <1% globally
- Quality Adaptation: <2s switching time
- CDN Hit Rate: >95% from Open Connect
- Concurrent Streams: 15M+ peak
Infrastructure Scale
- 230M+ subscribers globally
- 15,000+ titles in catalog
- 1B+ hours watched daily
- 17,000+ CDN servers worldwide
- 700+ microservices in production
Mobile Optimizations
- Offline downloads with encryption
- Adaptive UI for different screen sizes
- Background playback continuation
- Data saver mode for limited plans
- Smart downloads based on WiFi availability
Accessibility Features
- Audio descriptions for visually impaired
- Closed captions in 20+ languages
- High contrast mode support
- Keyboard navigation optimization
- Screen reader compatibility