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.
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News about Memcached
Memcached surpasses EhCache and Coherence in Java Job Demand
Around January 2011, Memcached became the number one caching solution based on Java developer job demand. Memcached expanded beyond its LAMP roots. InfoQ caught up with Dustin Sallings, the implementer of Spymemcached the leading Java Memcached client, to get his perspective on the rise of Memcached in the Java world.
Second Level Caching with Entity Framework
Second Level Caching is one of the features that is not present out-of-the-box in Entity Framework. In an MSDN article “Second-Level Caching in the Entity Framework and AppFabric” Julie Lerman shows how to implement Second Level Caching with Entity Framework to take advantage of caching services like Microsoft AppFabric.
NoSQL Shake-Up. Membase and CouchOne merge into Couchbase
The shape of the NoSQL landscape is changing. The first big market aggregation took place with the merger of Membase Inc. with CouchOne into Couchbase. InfoQ spoke with James Phillip and Damien Katz about the benefits of the merger and future products.
Four NoSQL Add-ons available for Heroku Users
The first four NoSQL datastores are available as Add-ons for the Heroku PaaS (platform-as-a-service) platform. Using the Add-on system that was introduced in October 2009, CouchDB from Cloudant, Membase from NorthScale, MongoDB from MongoHQ and Redis were made available for Heroku users.
7 Lessons Learned at Reddit
Steve Huffman, co-founder of Reddit, shares the main lessons he learned scaling Reddit from a small web application to a large social website.
Presentations about Memcached
Horizontal Scalability via Transient, Shardable, and Share-Nothing Resources
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
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
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.
