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 data being analyzed as measured between capturing and analysis of raw data.
the Pimp factor – the ‘prettiness’ in the presentation of data. Particularly important for benchmarking or external (public) facing documents. Never underestimate the importance in presentation of your results.
the Share-ability factor – how portable the analysis needs to be. Particularly important when working with different technology groups such as middleware, storage or network subject matter experts.
the Proprietary factor – sometimes you just can’t escape this. Your heart may lie with support open source, but often your pay check dictates that you must use proprietary formats, templates and the like as already setup by the client. Particularly pertinent with the use of tools like Load Runner, QALoad and the like.
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