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47:56
Architecture & Design Follow 779 Followers

In-Memory Caching: Curb Tail Latency with Pelikan

Posted by Yao Yue  on  May 02, 2017 Posted by Yao Yue Follow 1 Followers  on  May 02, 2017

Yao Yue introduces Pelikan - a framework to implement distributed caches such as Memcached and Redis. She discusses the system aspects that are important to the performance of such services.

43:42
Architecture & Design Follow 779 Followers

In-Memory Caching: Curb Tail Latency with Pelikan

Posted by Yao Yue  on  Dec 13, 2016 1 Posted by Yao Yue Follow 1 Followers  on  Dec 13, 2016 1

Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.

45:33
Architecture & Design Follow 779 Followers

Effortless Eventual Consistency with Weave Mesh

Posted by Peter Bourgon  on  Jul 23, 2016 Posted by Peter Bourgon Follow 0 Followers , Matthias Radestock Follow 0 Followers  on  Jul 23, 2016

Peter Bourgon and Matthias Radestock explain the theory behind Weave Mesh, some of the important key features, and demonstrate some exciting use cases, like distributed caching and state replication.

01:30:37
Java Follow 425 Followers

Bringing javax.cache'ing to your Application

Posted by Chris Dennis  on  Nov 05, 2015 Posted by Chris Dennis Follow 0 Followers , Alex Snaps Follow 0 Followers  on  Nov 05, 2015

Chris Dennis and Alex Snaps discuss introducing caching into a Spring application to solve real world problems.

01:01:06
Followers

Web Clustering, Integration with Terracotta, BigMemory, Quartz & Grails

Posted by Ryan Vanderwerf  on  Jan 31, 2015 Posted by Ryan Vanderwerf Follow 0 Followers  on  Jan 31, 2015

Ryan Vanderwerf speaks about the roles of cache clustering, session clustering, and quartz clustering with open source Terracotta, Quartz, and BigMemory.

57:33
Followers

Web Clustering, Integration with Terracotta, Quartz & Grails 2

Posted by Ryan Vanderwerf  on  Jan 29, 2014 Posted by Ryan Vanderwerf Follow 0 Followers  on  Jan 29, 2014

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

Followers

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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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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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.

Followers

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.

Followers

Rockstar Memcaching

Posted by Tobias Lütke  on  Oct 28, 2008 Posted by Tobias Lütke Follow 0 Followers  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.

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