Categories: Problem Analysis, Workload Analysis | Author: Sam | Posted: 18/05/2017 | Views: 124

Part 1 in a series of posts focusing on how we gather and analyse data for a performance project. Clear requirements gathering is key to a successful, and most importantly, meaningful, performance test engagement. Identifying clear; non-functional, infrastructure, and test set-up requirements for the performance testing, will play a critical role in the completion of a valuable performance engagement. 

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Categories: Workload Analysis | Author: Scott | Posted: 25/09/2015 | Views: 472

Once upon a time, when I was younger and new to the world of performance testing a much more experienced colleague said to me “Scott, you will never be good at this job until you understand Little’s Law”. I pooh poohed the suggestion at the time after looking at the Wikipedia article (which is actually quite good).

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Categories: Workload Analysis | Author: Scott | Posted: 08/09/2015 | Views: 366

Everyone loves averages. We see them on the News almost every night, promotions and competitions tend to tout averages (1 In 6 chance of winning!), and of course, in performance testing there is always the average response time – that critical measure that everyone focuses on. The reason we love averages is because they are reasonably intuitive, it gives a single metric that describes the dataset that people can conceptualise. However, they can also be highly deceptive. The problem is that outliers can throw an average off to the extent that the dataset becomes useless. Or, in the case of performance testing and workload modelling if an average is aggregated over to coarse a time period it can seriously ‘flatten’ out spikes in load that we are interested in.

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