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40:29

The Technology behind an Equity Trade

Posted by John O'Hara  on  Aug 14, 2013 3

John O’Hara discusses banking business and technology integration, covering: low-latency, high-frequency trading, in-memory caches, multi-terabyte time-series databases, complex contracts in NoSQL stores and advanced systems integration.

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.

36:25

Caching Hypermedia APIs

Posted by Tim Stokes  on  Jan 29, 2013

Tim Stokes discusses various URI caching strategies providing real life examples relying on some of the natural behaviors that are built into the HTTP 1.1 protocol.

Caching, NoSQL & Grids - What the Banks Can Teach Us

Posted by John Davies  on  Sep 07, 2012 4

John Davies shares insight into SQL, NoSQL, grid, virtualization and caching technologies from his personal experience using them in financial institutions.

Need Some Cache? Redis in Depth

Posted by Chris Meadows  on  Sep 07, 2012

Chris Meadows introduces Redis, explaining what it is good for, what does it take to be run, and what’s under the hood through a social networking code example.

Building Offline Access to Websites Using HTML5

Posted by Israel Hilerio  on  Apr 18, 2012 1

Israel Hilerio presents how to cache data locally with HTML5 technologies: IndexedDB, App Cache, DOM Storage and File API.

Max Protect: Scalability and Caching at ESPN.com

Posted by Sean Comerford  on  Feb 06, 2012 2

Sean Comerford unveils ESPN.com’s architecture, what components are used and why, and the current changes the website goes through.

Concurrent Caching at Google

Posted by Charles Fry  on  Dec 28, 2011 1

Charles Fry presents MapMaker, an in-memory caching solution on the JVM, discussing its API and implementation evolution along with internal details.

Asynchronous Memcached with a Side of Ketchup and Membase

Posted by Jason Sirota  on  Nov 23, 2011 5

Jason Sirota explains with code samples how to combine caching with asynchronous IO using memcached, Membase and Ketchup in order to maximize the throughput of an application.

Membase NoSQL: Clustered by Erlang

Posted by Sean Lynch and Matt Ingenthron  on  Sep 12, 2011

Sean Lynch and Matt Ingenthron introduce Membase, detailing how they added clustering features in Erlang, what they built and what lessons they leaned along the way.

League of Legends: Scaling to Millions of Ninjas, Yordles, and Wizards

Posted by Scott Delap and Randy Stafford  on  Apr 07, 2011 2

Scott Delap and Randy Stafford explain the architectural decisions made in order to scale, monitor and operate 24/7 the game League of Legends, bringing insight on how they use Oracle Coherence for that.

Yes, SQL!

Posted by Uri Cohen  on  Mar 01, 2011

Uri Cohen presents the key characteristics of SQL and NoSQL databases and how to create a layer on top of distributed data stores in order to use SQL to query for data. For further information please contact Gigaspaces.

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