This past Monday, May 5th, I had the opportunity to speak at Community One on Scaling MySQL. The presentation was based on several months of work to integrate and tune MySQL in to our fastest supported database. MySQL is the fourth database I have developed on, and while working with it I have found a bunch of nice features that are simple to use which made HQ run extremely fast. Unfortunately MySQL has some big issues with their query optimizer that made the work a bit more tedious than it needed to be.
Here are my top 3 keys to tuning MySQL ->
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May 7th, 2008
Scott Feldstein
First Enterprise Application to Prove MySQL Supports Immense Scale
JAVAONE—San Francisco, Calif. - News Release:
- Today at JavaOne, Hyperic (Booth #1028), announced the results of a large scale performance study on Hyperic using Sun Microsystems’ MySQL database as a backend.
- Results showed Hyperic monitoring upwards of 2.3 million metric transactions per minute.
- These results definitively prove that MySQL and Hyperic can be a compelling option for even the most demanding enterprise and web applications.
- Hyperic customer CNET was part of large-scale beta testing of MySQL on Hyperic.
About the tests:
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May 7th, 2008
Hyperic Press Desk
