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38:37

Scaling Reddit from 1 Million to 1 Billion–Pitfalls and Lessons

Posted by Jeremy Edberg  on  Aug 15, 2013 9

Jeremy Edberg shares some of the lessons learned scaling Reddit, advising on pitfalls to avoid.

44:14

How We Scaled Songkick for More Traffic and More Productive Development

Posted by Marc Pacheco  on  Jul 23, 2013

Marc Pacheco tells how Songkick made radical changes to increase the performance of the site while retaining a productive development team.

51:44

Lessons from Building and Scaling LinkedIn

Posted by Jay Kreps  on  Jun 30, 2013

Jay Kreps discusses the evolution of LinkedIn's architecture and lessons learned scaling from a monolithic application to a distributed set of services, from one database to distributed data stores.

51:20

Facebook Messages: Backup & Replication Systems on HBase

Posted by Nicolas Spiegelberg  on  Jun 30, 2013

Nicolas Spiegelberg discusses Facebook Messages built on top of HBase, the systems involved and the scaling challenges for handling 500TB of new data per month.

58:48

Racing Thru the Last Mile: Cloud Delivery Web-Scale Deployment

Posted by Alex Papadimoulis  on  May 28, 2013

Alex Papadimoulis discusses various deployment strategies, scalable delivery, with examples from real-world organizations such as AllRecipes.com, Twitter, and Google.

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.

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