I’ll be co-speaking with Tyler Muth at E4 and we will be talking about Performance Visualization… some of you may already know that I’m really a big fan of Tableau and just to give you an example on what the tool can do I’ve consolidated all the different viz that I’ve done during my sizing & performance gigs here http://goo.gl/xZHHY and Tyler has also been doing a lot of Exadata performance & benchmarking gigs lately and there were a couple of times where we collaborated on specific viz (him doing it on R) just to validate each other’s work. In short, we are passionate about this stuff. And we are going to be awesome
The session title is: Performance data visualization with Oracle R and Tableau
and here’s the abstract:
Last week I had a lengthy post at oracle-l that tackles Calibrate IO, Short Stroking, Stripe size, UEK kernel, and ASM redundancy effect on IOPS Exadata which you can read here
followed by interesting exchange of tweets with Kevin Closson here (see 06/21-22 tweets) which I was replying in between games at UnderwaterHockey US Nationals 2012 which we won the championship for the B division I have my awesome photo with the medal here
This post will detail on the ASM redundancy/parity effect on IOPS… if… by changing the ASM redundancy (external, normal, and high) will it decrease the workload read/write IOPS or stay as is. I’ll walk you through the step by step on how I did the instrumentation + the test case itself then end with some results and observations.
Let’s get started!