An article describing some key aspects to keep in mind when adding more data nodes in order to gain more performance.

Slides are online (and downloadable) at http://www.slideshare.net/Sheeri/scale-db-preso-for-boston-my-sql-meetup-92009 Mike Hogan, CEO of ScaleDB spoke about ScaleDB at the Boston MySQL User Group in September 2009: ScaleDB is a storage engine for MySQL that delivers shared-disk clustering. It has been described as the Oracle RAC of MySQL. Using ScaleDB, you can scale your cluster by simply adding nodes, without partitioning your data. Each node has full read/write capability, eliminating the need for slaves, while delivering cluster-level load balancing. ScaleDB is looking for additional beta testers, sign up at http://www.scaledb.com

Presentation given at OSCON 2009 on Scaling a web application (mostly PHP/MySQL) and gives a framework for creating scaling profiles and capacity/scenario profiling for your web site. An overview of Application and Database scaling steps and considerations.

A story of scaling, in today's world - using modern technologies like ZFS, OpenStorage, MySQL, and more, running one of the world's most popular photo sharing sites - SmugMug.

There are many different ways of scaling up and scaling out using MySQL. You can take advantage of replication, DRBD, memcached, MySQL Proxy and many other solutions. This tutorial will take you through all of these solutions and their combinations to increase your database throughput.

A story of scaling, in today's world - using modern technologies like ZFS, OpenStorage, MySQL, and more, running one of the world's most popular photo sharing sites - SmugMug.

The InnoDB storage engine has been modified to use memcached as a level 2 cache, the InnoDB buffer pool being the level 1. Important reduction of the disk load and performance boost has been observed. This opens a new way of scaling out MySQL.

In this session we present OpenLDAP/back-ndb which gives an LDAP interface to MySQL Cluster. The LDAP interface on Cluster offers some nice ways of scaling out, as well fantastic performance, and we discuss how this is done. Moreover, it is possible to simultaneously access the LDAP data using e.g SQL! A short demo will be given.