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Concurrent Caching at Google

Posted by Charles Fry  on  Dec 28, 2011 1 Posted by Charles Fry Follow 0 Followers  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.

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Asynchronous Memcached with a Side of Ketchup and Membase

Posted by Jason Sirota  on  Nov 23, 2011 1 Posted by Jason Sirota Follow 0 Followers  on  Nov 23, 2011 1

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.

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Membase NoSQL: Clustered by Erlang

Posted by Sean Lynch  on  Sep 12, 2011 Posted by Sean Lynch Follow 0 Followers , Matt Ingenthron Follow 0 Followers  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.

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

Posted by Scott Delap  on  Apr 07, 2011 2 Posted by Scott Delap Follow 0 Followers , Randy Stafford Follow 1 Followers  on  Apr 07, 2011 2

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

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Yes, SQL!

Posted by Uri Cohen  on  Mar 01, 2011 Posted by Uri Cohen Follow 0 Followers  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.

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Advanced GORM - Performance, Customization and Monitoring

Posted by Burt Beckwith  on  Jan 27, 2011 5 Posted by Burt Beckwith Follow 0 Followers  on  Jan 27, 2011 5

Burt Beckwith discusses potential performance problems using mapped collections and Hibernate 2nd-level cache in GORM, along with strategies for avoiding such performance penalties.

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Squid Wrangling

Posted by Sam Newman  on  Jan 14, 2011 Posted by Sam Newman Follow 1 Followers , Chris Read Follow 0 Followers  on  Jan 14, 2011

Sam Newman and Chris Read describe the architectural change of a large European website by introducing a caching layer based on Squid, and the cultural change done by breaking down the dev-ops silos.

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Scaling Australia's Most Popular Online News Sites with Ehcache

Posted by Ari Zilka  on  Dec 06, 2010 4 Posted by Ari Zilka Follow 0 Followers , Matthias Matook Follow 0 Followers  on  Dec 06, 2010 4

A real-world experience of implementing Ehcache at Australia's most visited online news site. How to deal with high traffic, concurrency, and how to implement linear scalability.

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Scaling Your Cache & Caching at Scale

Posted by Alex Miller  on  Jun 07, 2010 Posted by Alex Miller Follow 0 Followers  on  Jun 07, 2010

Alex Miller presents typical difficulties encountered when setting up a cache, plus available choices for designing a distributed caching architecture, and ways to test a cache for performance.

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Scale at Facebook

Posted by Aditya Agarwal  on  May 28, 2010 3 Posted by Aditya Agarwal Follow 0 Followers  on  May 28, 2010 3

Beside presenting the overall Facebook architecture and scaling solutions used, Aditya Agarwal talks about the iterative process of constantly improving the site, making sure to avoid over-engineering

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Horizontal Scalability via Transient, Shardable, and Share-Nothing Resources

Posted by Adam Wiggins  on  Apr 20, 2010 1 Posted by Adam Wiggins Follow 0 Followers  on  Apr 20, 2010 1

Adam Wiggins details how memcached, CouchDB, Hadoop, Redis, Varnish, RabbitMQ, Erlang apply the transient, shardable and share-nothing principles to achieve horizontal scalability.

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Evolving the Key/Value Programming Model to a Higher Level

Posted by Billy Newport  on  Jan 19, 2010 6 Posted by Billy Newport Follow 0 Followers  on  Jan 19, 2010 6

Billy Newport discusses the ways that developers interact with key/value stores, entity vs column-oriented approaches, sync vs async operations, large data sets, and collocating closures and data.

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