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46:59

Delivering Performance Under Schedule and Resource Pressure: Lessons Learned at Google and Microsoft

Posted by Ivan Filho  on  Mar 06, 2014

Ivan Filho shares lessons learned during the development and release of several large scale services at Microsoft and Google from the perspective of a performance manager.

47:14

Everything I Learned About Scaling Online Games I Learned at Google and eBay: Scalability at KIXEYE

Posted by Randy Shoup  on  Jan 30, 2014

Randy Shoup shares war stories from eBay and Google about performance, consistency, iterative development, and autoscaling, connecting them with experiences building KIXEYE's gaming platform.

51:26

Scaling Pinterest

Posted by Yash Nelapati, Marty Weiner  on  Dec 30, 2013

Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.

47:52

Evolution of the Netflix API

Posted by Ben Christensen  on  Dec 11, 2013

Ben Christensen describes how the Netflix API evolved from a typical one-size-fits-all RESTful API designed to support public developers into a web service platform optimized to handle the diversity and variability of each device and user experience. The talk will also address the challenges involving operations, deployment, performance, fault-tolerance, and rate of innovation at massive scale.

51:33

How a Small Team Scales Instagram

Posted by Mike Krieger  on  Dec 05, 2013

Mike Krieger discusses Instagram's best and worst infrastructure decisions, building and deploying scalable and extensible services.

33:33

Deploying Machine Learning and Data Science at Scale

Posted by Nick Kolegraff  on  Dec 01, 2013

Nick Kolegraff discusses common problems and architecture to support all the phases of data science and how to start a data science initiative, sharing lessons from Accenture, Best Buy, and Rackspace.

41:00

One to Many: The Story of Sharding at Box

Posted by Tamar Bercovici  on  Nov 17, 2013 3

Tamar Bercovici presents Box’s transition from a single MySQL database to a fully sharded MySQL architecture, all the while serving 2 billion queries per day.

40:59

Which Is Easier? 100T-10M or 10M-1B

Posted by Zoltan Toth-Czifra  on  Nov 15, 2013

Zoltan Toth-Czifra shares scalability lessons learned at Softonic, a company that has developed and grew along with the Internet for over 15 years.

59:10

Scaling out with Akka Actors

Posted by Joshua Suereth  on  Oct 31, 2013 4

Joshua Suereth designs a scalable distributed search service with Akka and Scala using actors, and covering practical aspects of how to scale out with Akka’s clustering API.

36:45

Apache Drill - Interactive Query and Analysis at Scale

Posted by Michael Hausenblas  on  Oct 13, 2013

Michael Hausenblas introduces Apache Drill, a distributed system for interactive analysis of large-scale datasets, including its architecture and typical use cases.

44:36

MySQL Usage of Web Applications with 1 User and 100 Million

Posted by Peter Boros  on  Oct 06, 2013

Peter Boros discusses a MySQL architecture useful for the majority of projects, backup, online schema changes, reliability and scalability issues, and basics of sharding.

41:55

You Can Improve Scalability over 10 Years

Posted by Marton Anka  on  Sep 25, 2013

Marton Anka shares lessons learned and technical details scaling LogMeIn over a decade.

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