Archive for the ‘Statistics’ Category

NumbrCrunchr - Performance Monitoring Using Sparklines

Thursday, July 10th, 2008

I've been working on a light weight performance monitoring solution which can be hosted on a LAMP (or WAMP, or OSX =) installation and uses the Google chart API to present data. Data is populated by custom Ruby scripts that either use ssh or perfmon (typeperf) to collect performance metrics ...

By the power of R, statistical computing at your fingertips

Wednesday, December 5th, 2007

I've explored in previous posts the use of tools such as onboard Analytics (LoadRunner), off-the-shelf tools (Excel) and custom web based implementations (JGraph, ChartDirector) used to analyze the nitty gritty of performance metrics. All of these tool's use are governed by some common factors being: the Expediency factor - the timeliness of ...

Use of dashboards for performance tuning

Friday, October 26th, 2007

Jason Gorman describes in his article 6 requirements for the practical use of dashboards in performance related testing. As a performance tester, I find that I often need to provide snapshot summaries of systems performance ala dashboards. The key requirement imposed is normally timeliness and relevance of data being presented. So sticking ...

The gambler’s fallacy killed by pure maths

Tuesday, June 12th, 2007

Statistics (and the ability to gather/present) are an essential tool for performance testing. At the time of learning basic stats in high school and university I was plagued with the problem of not seeing the real life application of these tools. Sure, exercises and scenarios conducted simulated real life, but ...

Monitoring queue statistics in MQ

Monday, April 30th, 2007

When load testing MQ you are no doubt going to need to be able to monitor queue statistics in terms of how many messages have been enqueued and dequeued within a given timeframe. You can use native runmqsc commands to query queues in order to find current queue depths but ...

Getting busy with statistics

Monday, January 15th, 2007

The screenshot you see is an example of the graphs you can output in my descriptive statistics Excel template without using any macros. I often find moving averages and boxplots / histograms to be extremely useful in analyzing raw data for stress and volume testing ... So what are my favourite ...

Resource utilization script for Solaris

Monday, December 18th, 2006

Recently I found myself in a performance test analyst role on a unix system with no access to customised tools for collecting performance statistics such as Compuware QALoad or Mecury LoadRunner. Not to worry, Solaris 9 comes with a bucket load of native tools that allow you to easily collect ...