I’ve been hacking on Drizzle for a good two years now, but before that I was a consultant for MySQL and spent a good deal of my time doing performance tuning for MySQL clients. I thought it would be a lot of fun to generate some workloads for Drizzle, not for the point of normal nominal benchmarking, but to go through a full-on consulting-style performance tuning exercise. In this particular case, I’ve got a couple of 16-core boxes and a couple of 48-core test boxes to use, as well as plenty of available machines to generate the load.
The process is going to be:
– slam the server
– analyze the performance (status counters, perf schema, oprofile, iostat, etc)
– tune the server
– track down server bottlenecks in code
– lather rinse repeat
Rather than just showing the pretty graphs, it’s showing the process that’s more interesting to me – how tuning effects Drizzle, how to look for effects, etc.
Monty currently works as a core developer on the Drizzle project for Rackspace. Before Drizzle he was a Senior Consultant for MySQL, Inc and then Sun Microsystems focusing on Clustering and High Availability. Between MySQL Consulting and speaking at conferences, he has been to 5 of the 7 continents (and is always aiming for more)
Before MySQL, Monty started several small companies, none of which were the next Facebook. He is an ardent supporter of Free Software and is actively involved in packaging efforts for Debian and Ubuntu. Monty spends the majority of his non-hacking time as a theatre director and lighting designer. He is an Associate Artist with Seattle based theatre company the Satori Group.
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