InfoQ Homepage Distributed Cache Content on InfoQ
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Posted by
Dalia Borker
on
Feb 27, 2019
Enterprise Systems Built with Microservices are Designed to Expect Failures, But Then What? How Do We Handle Failures?
Dalia Borker explores the use of caching frameworks to improve resilience and performance in enterprise microservices systems with Redis, Pivotal Cloud Cache, and Hazelcast.
on Feb 27, 2019Icon26:46 -
Posted by
Yao Yue
on
May 02, 2017
In-Memory Caching: Curb Tail Latency with Pelikan
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.
on May 02, 2017Icon47:56 -
Posted by
Yao Yue
on
Dec 13, 2016
In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.
on Dec 13, 2016Icon43:42 -
Posted by
Peter Bourgon
on
Jul 23, 2016
Effortless Eventual Consistency with Weave Mesh
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.
on Jul 23, 2016Icon45:33 -
Posted by
Alex Snaps
on
Nov 05, 2015
Bringing javax.cache'ing to your Application
Chris Dennis and Alex Snaps discuss introducing caching into a Spring application to solve real world problems.
on Nov 05, 2015Icon01:30:37 -
Posted by
Ryan Vanderwerf
on
Jan 31, 2015
Web Clustering, Integration with Terracotta, BigMemory, Quartz & Grails
Ryan Vanderwerf speaks about the roles of cache clustering, session clustering, and quartz clustering with open source Terracotta, Quartz, and BigMemory.
on Jan 31, 2015Icon01:01:06 -
Posted by
Ryan Vanderwerf
on
Jan 29, 2014
Web Clustering, Integration with Terracotta, Quartz & Grails 2
Ryan Vanderwerf explains setting up Terracotta and clustering an applications using Ehcache, HTTP Session in Tomcat, and Quartz.
on Jan 29, 2014Icon57:33 -
Posted by
Jason Sirota
on
Nov 23, 2011
Asynchronous Memcached with a Side of Ketchup and Membase
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.
on Nov 23, 2011Icon41:10 -
Posted by
Uri Cohen
on
Dec 17, 2010
Yes, SQL!
Uri Cohen reviews SQL and distributed data stores, presenting how various API’s – memcached, SQL/JDBC, JPA - can be used to interact with such data stores, specifying what jobs they are best used for.
on Dec 17, 2010Icon52:18 -
Posted by
Ari Zilka
on
Dec 06, 2010
Scaling Australia's Most Popular Online News Sites with Ehcache
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.
on Dec 06, 2010Icon56:42 -
Posted by
Alex Miller
on
Jun 07, 2010
Scaling Your Cache & Caching at Scale
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.
on Jun 07, 2010Icon58:16 -
Posted by
Adam Wiggins
on
Apr 20, 2010
Horizontal Scalability via Transient, Shardable, and Share-Nothing Resources
Adam Wiggins details how memcached, CouchDB, Hadoop, Redis, Varnish, RabbitMQ, Erlang apply the transient, shardable and share-nothing principles to achieve horizontal scalability.
on Apr 20, 2010Icon39:55