Management by Exception is actually an old idea and it is used for the Business Process management and even for the Accounting as defined in the following website that I have recently found: http://www.allbusiness.com/glossaries/management-by-exception/4944378-1.html
Wikipedia, referring to the same source, defines Management by Exception as a
"policy by which management devotes its time to investigating only those situations in which actual results differ significantly from planned results. The idea is that management should spend its valuable time concentrating on the more important items (such as shaping the company's future strategic course). Attention is given only to material deviations requiring investigation."
I would say if one applies this definition to IT, it turns to my term "System Management by Exception" where the "management" is Capacity management analysts or Capacity planners and "material deviations" are servers or applications' exceptions.
Speaking about applications' exceptions, currently I am working on applying “Management by Exception” approach not to servers farm capacity management (I think I have already done this successfully) but to a set of applications to produce automatically the list of only those applications that are having some exceptions (unusual but not yet deadly behavior) to help providing proactive application capacity/performance management. Why? Because in some IT environments with large number of applications the centralized capacity management does not exist and application support teams have to play that role and SEDS (System Management by Exception tool) should deliver automatically them what systems need attention within each exceptional application.
This blog relates to experiences in the Systems Capacity and Availability areas, focusing on statistical filtering and pattern recognition and BI analysis and reporting techniques (SPC, APC, MASF, 6-SIGMA, SEDS/SETDS and other)
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Wednesday, June 17, 2009
Management by Exception: Business vs. System
Igor Trubin began his engineering career in 1979 as an IBM/370 systems engineer. He earned a Ph.D. in Robotics from St. Petersburg Technical University in 1986 and spent 12 years there as a professor teaching CAD/CAM and Robotics. He has published and presented more than 60 technical papers and conference presentations in robotics, artificial intelligence, IT performance, capacity management, anomaly detection, and FinOps. After moving to the U.S. in 1999, Igor worked at Capital One, IBM, and SunTrust Bank in senior engineering, architecture, and management roles. His 2002 CMG paper on exception detection received a Best Paper Award. He later developed Perfomalist.com, based on his original methods for anomaly, change-point, and trend detection, and created the online course “Performance Anomaly Detection.” At Capital One, he led development of cloud capacity-management and FinOps solutions, including the award-winning OptiCloud application. He has served on the CMG Board of Directors since 2015. Now semi-retired, Igor focuses on research, writing, and consulting. His current work expands his concept of the “Area of Normal Functioning” (ANF) from technical systems to human, orga
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