Products›🎬 Video & Streaming›Netflix
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Netflix

Streaming billions of hours of 4K video to 260M+ subscribers

99.97%
SLA
15
SERVICES
12
NODES
REQ/SEC0
LATENCY0ms
ERROR RATE0%
CACHE HIT95%
ACTIVE CONNS0
QUEUE DEPTH0

Netflix Architecture Blueprint

Click ▶ RUN to animate active particle streams across microservices

client
gateway
service
database
cache
queue
cdn
storage
SYSTEM ARCHITECTURE WALKTHROUGH

How Traffic Flows Through Netflix

EDGE TIER01

1. Ingress & Edge Routing

User requests arrive at the edge network. Global CDNs cache static assets and media. API Gateways terminate TLS, validate JWT authentication tokens, enforce token-bucket rate limits, and scrub malicious bot traffic before forwarding to internal services.

Content StudioViewer AppOpen Connect CDNAPI Gateway (Zuul)
APPLICATION TIER02

2. Microservice Processing

Stateless domain services execute core business logic. Microservices communicate via high-performance internal gRPC/REST APIs and autoscaling worker pods, ensuring that high load on one domain never exhausts compute resources of another.

Upload ServiceTranscoding FarmCatalog ServiceRecommendation Engine
DATA TIER03

3. In-Memory Caching & Storage

Read-heavy traffic is served from in-memory Redis clusters with sub-millisecond latencies, protecting primary databases. Persistent databases (PostgreSQL, Cassandra, DynamoDB) maintain ACID consistency for financial ledgers, user accounts, and immutable state records.

Object StorageCassandra DB
MESSAGING TIER04

4. Asynchronous Event Streams

Heavy operations (notifications, audit logging, analytics, ML training, fan-out delivery) are decoupled into durable event logs like Kafka and SQS. This prevents user-facing requests from blocking on slow external networks.

Kafka Telemetry
📖 SYSTEM DESIGN WHITE PAPERS & LOW-LEVEL SPECIFICATIONS

Study Netflix's database schemas, capacity math & production contracts

Beyond the visual blueprint, explore the exhaustive 7-section engineering whitepaper with real DDL schemas, API endpoints, failure mitigation matrices, and 45-minute FAANG interview scripts.

🏆 #1 HARDEST SYSTEM CHALLENGE

Global Adaptive Bitrate Streaming & Open Connect ISP Appliances

⚠️The Engineering Bottleneck

Streaming billions of hours of 4K video across the public internet backbone would cost billions in bandwidth transit fees and cause unacceptable packet loss and buffering.

💡The Winning Architectural Solution

Netflix engineered custom hardware appliances called Open Connect Appliances (OCAs) and installs them for free directly inside telecom ISP data centers worldwide. 95% of video chunks stream directly from within the user's local telecom network without touching the public internet transit backbone.

SCALE & PRODUCTION METRICS:100+ Terabits/sec peak global throughput, 0 transit costs for 95% of video bits, 99.97% streaming availability.

⚖️ Architectural Trade-Offs & Decisions

Why the engineering team chose this specific stack over competing alternatives

Why Cassandra instead of relational databases for viewing history?
CHOSEN:✓ Apache Cassandravs PostgreSQL, MySQL Sharded, MongoDB

Millions of viewers generate continuous playhead position checkpoints every few seconds. Relational databases choke on write-heavy append workloads. Cassandra's masterless LSM-tree storage engine handles millions of writes per second across multi-datacenter clusters without locking.

Why build Open Connect CDN instead of using Akamai or Cloudflare?
CHOSEN:✓ Netflix Open Connectvs Akamai, Cloudflare, Fastly

At Netflix's immense bandwidth volume, paying third-party CDNs per gigabyte would bankrupt the business model. Deploying custom FreeBSD servers inside ISPs reduced bandwidth costs by over 90% and gave Netflix total algorithmic control over cache pre-population.

🚨 REAL-WORLD POST-MORTEM

Christmas Eve AWS Region Blackout (2012)

The Incident

Amazon Web Services US-East-1 region suffered a catastrophic Elastic Load Balancer failure on Christmas Eve, disabling video streaming for millions of families.

Root Cause Analysis

Netflix control plane services had single-region dependencies in US-East-1; traffic could not automatically fail over to US-West.

How They Re-Architected It

Netflix re-architected its entire infrastructure for multi-region active-active operation, allowing 100% of global traffic to be evacuated from any AWS region in under 7 minutes, and created Chaos Kong to regularly simulate region shutdowns in production.

📋 Complete Microservice Specifications

Every service in the Netflix ecosystem with production tech stacks and failure impact

ComponentTier / LayerTech StackProduction FunctionStatus / Chaos
Content StudioCLIENT
StudioS3 Direct
Studios upload raw uncompressed 4K master ProRes video files
Viewer AppCLIENT
SmartTViOSAndroidWeb
Smart TVs, mobile phones, game consoles, and web browsers
Upload ServiceSERVICE
GoAWS S3Chunking
Splits giant master video files into small 5-minute chunks for parallel processing
Transcoding FarmSERVICE
FFmpegEC2 SpotAV1HEVC
Distributed worker fleet converting video into 1,200+ distinct format combinations
Object StorageSTORAGE
AWS S3Glacier
AWS S3 repository storing master chunk archives and video files
Open Connect CDNCDN
Custom FreeBSDNginxOCAs
Netflix's custom hardware appliances embedded directly inside ISP networks
API Gateway (Zuul)GATEWAY
Zuul 2EurekaNetty
Intelligent routing, auth token verification, and dynamic traffic filtering
Catalog ServiceSERVICE
JavaSpring BootCassandra
Provides title metadata, localization, age ratings, and preview clips
Recommendation EngineSERVICE
PythonTensorFlowRay
ML model computing personalized rankings, top picks, and dynamic artwork thumbnails
Manifest ServiceSERVICE
JavaHLSDASH
Generates customized adaptive bitrate streaming manifests (HLS / DASH)
Cassandra DBDATABASE
Apache Cassandra
Distributed NoSQL database storing user viewing history, bookmarks, and ratings
Kafka TelemetryQUEUE
Apache KafkaFlink
High-throughput event bus streaming playback telemetry, buffer health, and QoS metrics