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  Apr 16, 2014
  Percona MySQL Webinar
   Marcos Albe, Ryan Lowe

Optimizing MySQL Performance: Choosing the Right Tool for the Job

Listen to a recording of this presentation: http://www.percona.com/resources/mysql-webinars/optimizing-mysql-perform...

Application performance is a key aspect of ensuring a good experience for your end users. But finding and fixing performance bottlenecks is difficult in the complex systems that define today's web applications. Having a method and knowing how to use the tools available can significantly reduce the amount of time between problems manifesting and fixes being deployed.

This presentation will cover the primary tools used for performance optimization of MySQL running on Linux. This presentation will cover vmstat, iostat,top, netstat, ethtool, oprofile, perf, pt-diskstats, pt-ioprofile, pt-pmp, and more.

By the end of the session, you will know how to choose the right tool for the right problem, understand system components and how their inter-relationships affect performance, and fix identified bottlenecks.

Marcos Albe
Principal Technical Services Engineer
Marcos Albe has been doing web development for over ten years, providing solutions for various media and technology companies of different sizes. He is now Regional a member of the Percona Support Team Born and raised in the city of Montevideo, Uruguay, he became passionate about computers at the age of 11, when he got a 25Mhz i386-SX. Some ten years later, he became one of the pioneers in telecommuting in Uruguay while leading the IT efforts for the second largest newspaper in the country.

Ryan Lowe
Senior Field Account Manager
Ryan worked for a variety of companies, including several startups, and he has a background in many different database technologies. He has extensive experience as a developer, DBA, manager, and consultant. In addition, he has worked in a broad range of industries across the globe, including health care, telecommunications, social networking, and defense. His specialties include full-stack performance optimization, scaling, and high availability.

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