I’m speaking at the User Conference this year, with a half-day tutorial and three further sessions. The running theme is performance, both in terms of the performance of your queries, and in terms of scaling up. Scale Up, Scale Out, and High Availability: Solutions and CombinationsThis is the big tutorial. It’s difficult to resolve what I’ll be talking about into a few sentences, but think about all of the different technologies available here – replication, partitions, sharding, DRBD, memcached – I’ll be talking about all of them, and more importantly combinations of the different solutions and where the potential performance gains and pitfalls are. I’ll also be using the opportunity to demonstrate some of the more obscure combinations that you can use to provide the environment you need. How I used Query Analysis to Speed Up my ApplicationsFor query analysis, I’ll start with some of the basic methods available to us for performance monitoring, including EXPLAIN and DTrace, before I look at the query analysis provided by MySQL Enterprise Monitor. As an advisor to the group I’ve been looking at it for a while and used it on my own sites to identify a range of different query problems. Improving performance by running MySQL multiple timesIt isn’t talked about much, but there are times when running a single instance of MySQL doesn’t get you either the performance or environment that you need to support your applications. In this presentation I’m going to look at some of the benefits, from simply running multiple instances, to using solutions like VMware, Xen, LDOMs, BSD Jails, and Solaris Containers. Using MySQL with the Dojo ToolkitThe final presentation is something a little more fun. The Dojo Toolkit is a JavaScript kit for developing AJAX applications. There are some really fun things you can do with Dojo, but getting the best combination and cool and efficient with MySQL is an art. We’ll look at two quick examples; the first is a browsable interface to large quantities of data. The other is dynamic graphing using MySQL as the backend. If, within the bounds of any of these presentations there is something you would like covered, please let me know.