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Memcache Content on InfoQ


Latest featured content about Memcache

Yes, SQL!

Topics
NoSQL,
Data Access,
Java,
.NET,
Big Data,
Performance & Scalability,
Architecture

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. For further information please contact Gigaspaces.

News about Memcache

Memcached surpasses EhCache and Coherence in Java Job Demand

Topics
Cloud Computing,
Clustering & Caching,
Java

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.

Need to Scale Fast? Just Re-Architect it!

Topics
Architecture,
Performance & Scalability,
Ruby

The team at Delores Lab talk about lessons learned when their their site was featured on the Yahoo! home page, going from 500 to 100,000 visits overnight!

Java Clustering Framework Shoal Provides Fault Tolerance and Distributed State Cache

Topics
Java,
Clustering & Caching

Shoal is a java clustering framework that provides infrastructure to build fault tolerance, reliability and availability for java application servers. It can also be plugged into any application that needs clustering and distributed systems capabilities. Shoal is the clustering engine for GlassFish and JonAS application servers and provides a distributed state cache for storing application state.

Scaling Web Applications using Cache Farms and Read Pools

Topics
Clustering & Caching,
Architecture,
Performance & Scalability

Exploring a couple of lesser known tools in the architects' scaling toolkit.

Articles about Memcache

A Look at Common Performance Problems in Rails

Topics
Web Frameworks,
Ruby on Rails,
Ruby,
Performance & Scalability

Rails performance expert Dr. Stefan Kaes takes a look at the most common performance issues in your Rails applications and what to do about them. Advice is given regarding benchmarking, choosing a session container, caching results of expensive computations, optimizing database queries and working effectively with view helpers.

Presentations about Memcache

Scale at Facebook

Topics
Performance & Scalability,
Architecture

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 and adapting along the way by dropping solutions that worked in the past but are no longer useful. The last part of the session was dedicated to answering questions from the audience.

Facebook: Science and the Social Graph

Topics
Enterprise Application Blocks,
Architecture

In this presentation filmed during QCon SF 2008, Aditya Agarwal discusses Facebook’s architecture, more exactly the software stack used, presenting the advantages and disadvantages of its major components: LAMP (PHP, MySQL), Memcache, Thrift, Scribe.

Rockstar Memcaching

Topics
Ruby on Rails,
Data Access,
Architecture,
Performance & Scalability,
Ruby

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.