Google I/O 2008 - Building Scalable Web Apps with App Engine
Seattle Conference on Scalability: High Performance Computin
Google I/O 2009 - App Engine: Scalability, Fault Tolerance..
Seattle Conference on Scalability: Scaling Google Maps from the big screen do...
Seattle Conference on Scalability: CARMEN: A Scalable Scienc
Google I/O 2008 - Python, Django, and App Engine
Google I/O 2009 - Building Scalable Geo Applications
Google I/O 2009 - ..Scalable, Complex Apps on App Engine
Google I/O 2009 - Java Persistence & App Engine Datastore
Google I/O 2009 -..Distributed Transaction Layer: App Engine
Giftag.com/Google App Engine Case Study Rev 1.28.09
High Performance Web Sites and YSlow
Google I/O 2009 - ..Complex, high-performance apps w/ GWT
Google I/O 2009 - V8: ..High Performance JavaScript Engine
Werner Vogels, CTO of Amazon, Talks Cloud Computing
Velocity 09: Matt Mullenweg, "Improving Performance in Matu
Velocity 09: Alan Kasindorf, "Load Balancing Roundup"
Velocity 09: Philip Dixon, "Shopzilla's Site Redo - You Get
Velocity 09: Chris Bissell, Jeremy Custenborder, and Yadid
Velocity 09: Eric Goldsmith, "Performance Tools"
Velocity 09: Marissa Mayer, "In Search of... A better, fast
Velocity 09: Eric Goldsmith, "High Performance Ads - Is It
Velocity 09: Steve Souders, "State of Performance"
Velocity 09: John Adams, "Fixing Twitter: Improving the Per
Spider: Sharding for the Masses
CS Colloquium September 24, 2009 - Tipping the Scale
Cluster Computing and MapReduce Lecture 1
Cluster Computing and MapReduce Lecture 2
Cluster Computing and MapReduce Lecture 3
Cluster Computing and MapReduce Lecture 4
Cluster Computing and MapReduce Lecture 5
Intro to REST
Optimizing Your App: Profiling and Memcache
Google I/O 2008 - Painless Python Part 1 of 2
Google I/O 2008 - Painless Python Part 2 of 2
Buddypoke on Google App Engine
Building a business application on Cloud using OrangeScape - Part 1
Google App Engine - Early Look at Java Language Support
AppScale Screencast - Introduction
Running Large Graph Algorithms: Evaluation of Current State-Of-the-Art and Lessons Learned
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