Do you ever find yourself wanting to open several terminal windows and send the same commands to all of them? I’ve had this need many times, and I’ve never found a completely satisfactory solution. I’ve also known a lot of people who’ve written various sets of scripts to help them accomplish such tasks.

In no particular order, here are a few ways I’ve done this in the past:

This isn’t really a problem with iostat(1M) – it’s a great tool for system administrators to understand the usage of their resources. But the applications are far, far away from the disks – and have a complex file system in-between. For application analysis, iostat(1M) may provide clues that disks could be causing issues, but you really want to measure at the file system level to directly associate latency with the application, and to be inclusive of

I’ve released version 1.1.8 of the Better Cacti Templates project. This release includes a bunch of bug fixes and several important new graphs. There are graphs for the new response-time statistics exposed in Percona Server, and a new set of graphs for MongoDB.

There are upgrade instructions on the project wiki for this and all releases. There is also a comprehensive tutorial on

I’ve been studying the source of iostat again and trying to understand whether all of its calculations I explained here are valid and correct. Two of the columns did not seem consistent to me. The await and svctm columns are supposed to measure the average time from beginning to end of requests including device queueing, and actual time to service the request on the device, respectively. But there’s really no instrumentation to support that distinction. The device statistics you can get from the kernel do not provide timing information about device queueing, only a) begin-to-end timing of completed requests and b) the time accumulated by requests that haven’t yet completed. I concluded that the await is correct, but the svctm cannot be.

I just looked at

Web Operations

Web Operations. By John Allspaw and Jesse Robbins, O’Reilly 2010, with a chapter by myself. (Here’s a link to the publisher’s site).

I wrote a chapter for this book, and it’s now on shelves in bookstores near you. I got my dead-tree copy today and read everyone else’s contributions to it. It’s a good book. A group effort such as this one is necessarily going to have some differences in style and even overlapping content, but overall it works very well.

The traditional way to build Cacti templates is through the Cacti web interface. This is an enormous amount of work, and the result is generally not very consistent or good quality. The process is too error-prone. You can export the templates as XML, but they tend to have problems such as version incompatibilities with other Cacti installations, and it’s hard to adapt them for user preferences such as different graph image sizes and polling intervals.

The way I build Cacti templates is exactly the opposite. I create a data structure in a file, which looks like many configuration file syntaxes you’ve probably worked with. It represents the graphs, templates, scripts, and so on. From this, a tool generates the XML template file, which is a universal template definition, and is a breeze to import into Cacti. It is completely consistent and

These days I spend more time looking at /proc/diskstats than I do at iostat. The problem with iostat is that it lumps reads and writes together, and I want to see them separately. That’s really important on a database server (e.g. MySQL performance analysis).

It’s not easy to read /proc/diskstats by looking at them, though. So I usually do the following to get a nice readable table:

• Grep out the device I want to examine.
• Push that through “rel” from the Aspersa project.
• Add column headers, then format it with “align” from the same project.

Here’s a recipe. You might want to refer to the kernel iostat documentation too.

wget http://aspersa.googlecode.com/svn/trunk/rel
wget

Last month cloud computing and systems management expert John Willis published his best of Cloud Computing for 2009 list he calls the Cloudies.  I am not an expert on the latest developments in cloud computing so it was nice to get a list of the best (in his expert opinion)