Facebook is a major user of MySQL and has pushed the performance limits of the technology. Their MySQL experts have deep, hands on knowledge of the technology. I’m pleased to welcome Mark Callaghan, Software Engineer for Database Infrastructure at Facebook, back again this year to the Percona Live MySQL Conference & Expo to share his [...]
Facebook at Percona Live MySQL Conference and Expo and Advanced Registration Ending Soon
MySQL Workshops: Chicago & London this April
Percona will be in Chicago and London the week of April 8th delivering two 2-day MySQL workshops. For our MPB readers, we are offering a 15% discount. Just use MPB15A when purchasing your tickets to one or both MySQL workshops. Scaling and Optimization for MySQL on Monday & Tuesday, April 8 & 9 This MySQL workshop [...]
Thank you for joining us at Percona Live, NYC 2012
Over 200 attendees attended last week’s Percona Live NY event. This year we structured event different than in 2011 with Tutorial Day allowing for in-depth 3 hour presentations for those looking to dive deep into specific topics. We also added an Expo Hall which allowed a lot of MySQL Ecosystem participant to meet their prospective [...]
Is your MySQL Application having Busy IO by Oracle Measures ?
Preparing Choosing Storage Systems for MySQL talk for Percona Live in Washington,DC I ran into great paper called Sane SAN 2010 by James Morle from Scale Abilities – and Oracle consulting company. It is worth to read for variety of reason yet for this post I wanted to mention what James calls “Busy” Oracle database [...]
Multiple MySQL instances on Fusion-io ioDrive
It is known that MySQL due internal limitations is not able to utilize all CPU and IO resources available on modern hardware. Idea is to run multiple instances of MySQL to gain better performance on Fusion-io ioDrive card. Full report is available in PDF
MySQL performance on EC2/EBS versus RDS
A while ago I started a series of posts showing benchmark results on Amazon EC2 servers with RAID’ed EBS volumes and MySQL, versus RDS machines. For reasons that won’t add anything to this discussion, I got sidetracked, and then time passed, and I no longer think it’s a good idea to publish those blog posts [...]
Aligning IO on a hard disk RAID – the Benchmarks
In the first part of this article I have showed how I align IO, now I want to share results of the benchmark that I have been running to see how much benefit can we get from a proper IO alignment on a 4-disk RAID1+0 with 64k stripe element. I haven’t been running any benchmarks [...]
Using any general purpose computer as a special purpose SIMD computer
Often times, from a computing perspective, one must run a function on a large amount of input. Often times, the same function must be run on many pieces of input, and this is a very expensive process unless the work can be done in parallel. Shard-Query introduces set based processing, which on the surface appears [...]
Finding an optimal balance of I/O, CPU, and RAM for MySQL
For a long time I’ve wanted to know how MySQL scales as you add more memory to the server. Vadim recently benchmarked the effects of increasing memory and CPU core count. He looked for a balance between utilizing the hardware as much as possible, limiting the system complexity, and lowering the price-to-performance ratio. The outcome [...]
Distributed Set Processing with Shard-Query
Can Shard-Query scale to 20 nodes? Peter asked this question in comments to to my previous Shard-Query benchmark. Actually he asked if it could scale to 50, but testing 20 was all I could due to to EC2 and time limits. I think the results at 20 nodes are very useful to understand the performance: [...]

