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measurement

Exadata: disk level statistics

This is the fourth post on a serie of postings on how to get measurements out of the cell server, which is the storage layer of the Oracle Exadata database machine. Up until now, I have looked at the measurement of the kind of IOs Exadata receives, the latencies of the IOs as as done by the cell server, and the mechanism Exadata uses to overcome overloaded CPUs on the cell layer.

Instrumentation rocks!!

Those who have read my previous posts know I've got a few favorite topics:1. Data Models2. Measuring3. Variance4. InstrumentationThis post will be short but it touches on all of my favorite things. Over the last year and a half, I've had the opportunity to redesign a not-so-great application working with the amazingly great developers at Method-R. In the process, we redesigned the data model,

30 days in the hole ...

So ... not really 30 days (21 to be precise) but it feels like forever.Late November, early December (while I was in the U.K.) several sites were installed with an updated version of one of the tools. Everything seemed to be going well, until all the databases ran out of space roughly around the same time. (We lost a team member a few months ago and he used to monitor sites until they achieved