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Studying real-world architectures is one of the best ways to learn system design principles. These articles showcase how major companies have solved complex scalability challenges.

How to Study These Architectures

Don’t focus on nitty gritty details for the following articles, instead:
  • Identify shared principles, common technologies, and patterns within these articles
  • Study what problems are solved by each component, where it works, where it doesn’t
  • Review the lessons learned
Twitter Timeline Architecture Source: Twitter timelines at scale

Data Processing Systems

SystemDescriptionReference
MapReduceDistributed data processing from Googleresearch.google.com
SparkDistributed data processing from Databricksslideshare.net
StormDistributed data processing from Twitterslideshare.net

Data Store Systems

SystemDescriptionReference
BigtableDistributed column-oriented database from Googleharvard.edu
HBaseOpen source implementation of Bigtableslideshare.net
CassandraDistributed column-oriented database from Facebookslideshare.net
DynamoDBDocument-oriented database from Amazonharvard.edu
MongoDBDocument-oriented databaseslideshare.net
SpannerGlobally-distributed database from Googleresearch.google.com
MemcachedDistributed memory caching systemslideshare.net
RedisDistributed memory caching system with persistence and value typesslideshare.net

File Systems

SystemDescriptionReference
Google File System (GFS)Distributed file systemresearch.google.com
Hadoop File System (HDFS)Open source implementation of GFSapache.org

Infrastructure Systems

SystemDescriptionReference
ChubbyLock service for loosely-coupled distributed systems from Googleresearch.google.com
DapperDistributed systems tracing infrastructureresearch.google.com
KafkaPub/sub message queue from LinkedInslideshare.net
ZookeeperCentralized infrastructure and services enabling synchronizationslideshare.net

Company Architectures

Tech Giants

Amazon Architecture

Learn about Amazon’s distributed systems architecture

Google Architecture

Explore Google’s approach to building scalable systems

Facebook Engineering

Scaling memcached, TAO distributed data store, and photo storage

Netflix Stack

A 360 degree view of the entire Netflix stack

Social Media & Communication

CompanyKey TopicsReference
TwitterTimelines at scale, 150M active users, 300K QPSMaking Twitter 10000% faster
Timelines at scale
Instagram14 million users, terabytes of photosArchitecture
WhatsAppArchitecture Facebook bought for $19 billionArchitecture
PinterestFrom 0 to 10s of billions of page viewsScaling Pinterest

Other Notable Architectures

CompanyKey TopicsReference
UberReal-time market platform, scaling to 2000 engineersScaling Uber
DropboxHow Dropbox scaled their infrastructureVideo
YouTubeYouTube scalability and architectureScalability
Stack OverflowStack Overflow architectureArchitecture
SalesforceHandling 1.3 billion transactions a dayArchitecture

Specialized Systems

CompanySpecialtyReference
ESPNOperating at 100,000 duh nuh nuhs per secondArchitecture
FlickrPhoto sharing architectureArchitecture
Tumblr15 billion page views a monthArchitecture
TripAdvisor40M visitors, 200M dynamic page views, 30TB dataArchitecture
CinchcastProducing 1,500 hours of audio every dayArchitecture
DataSiftRealtime datamining at 120,000 tweets per secondArchitecture

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