Real world architectures
Articles on how real world systems are designed.
Source: Twitter timelines at scale
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
Type | System | Reference(s) |
---|---|---|
Data processing | MapReduce - Distributed data processing from Google | research.google.com |
Data processing | Spark - Distributed data processing from Databricks | slideshare.net |
Data processing | Storm - Distributed data processing from Twitter | slideshare.net |
Data store | Bigtable - Distributed column-oriented database from Google | harvard.edu |
Data store | HBase - Open source implementation of Bigtable | slideshare.net |
Data store | Cassandra - Distributed column-oriented database from Facebook | slideshare.net |
Data store | DynamoDB - Document-oriented database from Amazon | harvard.edu |
Data store | MongoDB - Document-oriented database | slideshare.net |
Data store | Spanner - Globally-distributed database from Google | research.google.com |
Data store | Memcached - Distributed memory caching system | slideshare.net |
Data store | Redis - Distributed memory caching system with persistence and value types | slideshare.net |
File system | Google File System (GFS) - Distributed file system | research.google.com |
File system | Hadoop File System (HDFS) - Open source implementation of GFS | apache.org |
Misc | Chubby - Lock service for loosely-coupled distributed systems from Google | research.google.com |
Misc | Dapper - Distributed systems tracing infrastructure | research.google.com |
Misc | Kafka - Pub/sub message queue from LinkedIn | slideshare.net |
Misc | Zookeeper - Centralized infrastructure and services enabling synchronization | slideshare.net |
Add an architecture | Contribute |