Top Most-Overlooked MySQL Performance Optimizations
MySQL is lightweight, stable and fast. But it is not uncommon to meet people having performance issues with MySQL -- even when the workload is moderate. What happened to them? Did they have excessive expectations about MySQL performance and scalability? Did they misconfigure their system? Or did they simply forget some prerequisites? Talking about simple items that you you need to know before deployment is the goal of this talk. We will discuss (among other things): - How to configure MySQL to get good performance without spending weeks adjusting the my.cnf file - How to find missing indexes and useless duplicate indexes - How to design tables: normalization vs denormalization, partitioning - How to choose hardware depending for the expected workload - How to find the queries that hurt performance
Support Engineer, Percona
Muhammad Irfan is vastly experienced in LAMP Stack. Prior to joining Percona Support, he worked in the role of MySQL DBA & LAMP Administrator, maintained high traffic websites, and worked as a Consultant. His professional interests focus on MySQL scalability and on performance optimization.
Database Engineer, Slice Technologies
Stephane has worked for almost 15 years in open source environments, and has spent most of the last 10 years solving performance or high-availability problems with MySQL and more recently MongoDB. He is now working for Slice Technologies, a company that helps you keep track of your online purchases. His main role is to automate MySQL and MongoDB operations, and from time to time, he is also very excited to kill a nasty query or add a missing index on a 500GB table. When not in front of a computer, Stéphane likes spending time with his family. He also hopes to become a decent chess player someday.