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Web Clustering, Integration with Terracotta, Quartz & Grails 2

Posted by Ryan Vanderwerf  on  Jan 29, 2014

Ryan Vanderwerf explains setting up Terracotta and clustering an applications using Ehcache, HTTP Session in Tomcat, and Quartz.

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.

Scaling Australia's Most Popular Online News Sites with Ehcache

Posted by Ari Zilka and Matthias Matook  on  Dec 06, 2010 4

Matthias Matook and Ari Zilka share the real-world experience of implementing Enterprise Ehcache at Australia's most visited online news sites. The talk will focus on the challenges and technical solutions to deal with massive page hits, high concurrency and how to achieve linear scalability without additional hardware.

Scaling Your Cache & Caching at Scale

Posted by Alex Miller  on  Jun 07, 2010

Alex Miller explains shortly why caching is useful, followed by examples of typical difficulties encountered when setting up a cache, like large datasets, data eviction, stale data, replication, loading, duplication. Miller also discusses available choices for designing a distributed caching architecture, and ways to test a cache for performance.

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

Posted by Adam Wiggins  on  Apr 20, 2010 1

Adam Wiggins believes that now is the time of horizontal scalability achieved by using resources that are transient, shardable and share nothing with other resources. He gives as example several applications and a language: memcached, CouchDB, Hadoop, Redis, Varnish, RabbitMQ, Erlang, detailing how each one applies those principles.

Evolving the Key/Value Programming Model to a Higher Level

Posted by Billy Newport  on  Jan 19, 2010 6

In this presentation from QCon San Francisco 2009, Billy Newport discusses the ways that developers interact with key/value (KV) stores such as memcached and WebSphere eXtreme Scale, entity vs column-oriented approaches, synchronous and asynchronous operations, large data sets, using a DBMS as a column store, collocating closures and data, and features that could be added to increase scalability.

Rockstar Memcaching

Posted by Tobias Lütke  on  Oct 28, 2008

In this presentation from RubyFringe, Tobias Lütke talks about memcached, the widely used caching solution. Tobias explains how to use it and gives some practical tips on what not to do.

Cluster Your JVM to SIMPLIFY application architecture

Posted by Ari Zilka  on  Jul 21, 2007 1

Open Terracotta is an open-source, highly scalable, JVM-level clustering solution. As well as being a drop-in replacement for Tomcat Clustering, it can transparently cluster POJOs and Spring beans. This presentation will be an in-depth case study of a small mobile application built using Terracotta clustering.

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