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Tuesday, November 20, 2012

SETDS Methodology

Some of the SETDS features are implemented into www.Perfomalist.com tool, which is described in the following post: https://www.trutechdev.com/2021/12/ and last release notes are HERE . The detailed Perfomalist CPD method is explained in this blog: https://www.trub.in/2020/08/cpd-change-points-detection-is-planed.html
Preparing my upcoming CMG'12 presentation about SEDS-lite I try to formulate what SEDS or extended version of that - SETDS actually is.

SE(T)DS is Statistical Exception (and Trend) Detection System.  It is not an application. But could be implemented by developing one. And I have done that several times (using SAS, COGNOS, BIRT, R and other programming/reporting systems). But developing SETDS-like reports/apps is just a beginning.  The most important part of SETDS is how to use that for Systems Capacity Management and how to build that in the Service Management processes. The set of my CMG papers I wrote since 2001 (list is in the very 1st post of this blog) describes that in details.

By the way it is not absolutely necessary to develop the SETDS application because starting from BMC PP and visualizer (now it is Capacity Optimizer, Perceiver and  Proactive Net) a lot of performance tools have SETDS-like features and this blog has several posts analyzing them (e.g. see Gartner's Magic Quadrant).

A Capacity Manager just need to know how to use the home made or vendor based  SETDS-like tools features efficiently and SETDS is the method. 

So bottom line is:

SETDS is the methodology of using statistical filtering, pattern recognition, active base-lining, dynamic vs. static thresholds,  IT-Control Charts, Exception Value (EV) based reporting/smart alerting and EV based  change points/trends detection to do Systems Capacity Management including Capacity Planning and Performance Engineering.

What value SETDS could bring to a company? I will formulate that later during and after my  CMG'12 presentations on which you are welcome to attend (www.CMG.org)!

(2018 UPDATE: Note , SEDS is the unsupervised SPC/MASF ML based Anomaly Detection method)

CPD perfomalist example:

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