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52:35

Architectural Patterns for High Availability

Posted by Adrian Cockcroft  on  Apr 09, 2013

Adrian Cockcroft presents Netflix globally distributed architecture, the benchmarks used, scalability issues, and the open source components their implementation is based upon.

38:00

Timelines at Scale

Posted by Raffi Krikorian  on  Apr 03, 2013

Raffi Krikorian explains the architecture used by Twitter to deal with thousands of events per sec - tweets, social graph mutations, and direct messages-.

40:52

(un)Common Sense

Posted by Mike Solomon  on  Apr 01, 2013

Mike Solomon shares some of the experiences and lessons learned scaling YouTube over the years.

48:40

Scaling Pinterest

Posted by Yashwanth Nelapati, Marty Weiner  on  Mar 26, 2013

Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.

44:36

Running the Largest Hadoop DFS Cluster

Posted by Hairong Kuang  on  Mar 15, 2013 5

Hairong Kuang explains how Facebook uses HDFS to store and analyze over 100PB of user log data.

Scaling Scalability: Evolving Twitter Analytics

Posted by Dmitriy Ryaboy  on  Jan 13, 2013

Dmitriy Ryaboy shares some of the lessons learned scaling Twitter’s analytics infrastructure: Data loves a schema, Make data sources discoverable, and Make costs visible.

Scaling Tumblr

Posted by Ken Little  on  Dec 18, 2012

Ken Little discusses the architecture and infrastructure employed by Tumblr.

Petabyte Scale Data at Facebook

Posted by Dhruba Borthakur  on  Dec 17, 2012 3

Dhruba Borthakur discusses the different types of data used by Facebook and how they are stored, including graph data, semi-OLTP data, immutable data for pictures, and Hadoop/Hive for analytics.

Facebook News Feed: Social Data at Scale

Posted by Serkan Piantino  on  Nov 26, 2012 1

Serkan Piantino discusses news feeds at Facebook: the basics, infrastructure used, how feed data is stored, and Centrifuge – a storage solution.

Not Your Father’s Transaction Processing

Posted by Michael Stonebraker  on  Oct 26, 2012 1

Michael Stonebraker compares how RDBMS, NoSQL and NewSQL support today’s big data transaction processing needs. He also introduces VoltDB, an in-memory NewSQL database.

Real-Time Delivery Architecture at Twitter

Posted by Raffi Krikorian  on  Oct 23, 2012 3

Raffi Krikorian details Twitter’s timeline architecture, its “write path” and “read path”, making it possible to deliver 300k tweets/sec.

The Startup Hangover: Supporting 15M Users

Posted by Phil Calçado  on  Oct 18, 2012

Phil Calçado presents SoundCloud’s approach to dealing with scalability issues when their user number grew beyond what they initially could support by creating services in various languages.

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