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)
"...Data Analyst Igor Trubin, explains the mechanics behind data collection. “We found a way to collect adequate cloud usage performance data to automatically recognize the workload patterns of different cloud objects and their subsystems (clusters of servers, databases, containers, disk volumes and networks), including the cost of using them.” Some details of the method for doing that we shared in the following tech blog post: Optimizing Your Public Cloud for Maximum Efficiency..."
He started in 1979 as IBM/370 system engineer. In 1986 he got his PhD. in Robotics at St. Petersburg Technical University (Russia) and then worked as a professor teaching CAD/CAM, Robotics for 12 years. He published 30+ papers and made several presentations for conferences related to the Robotics and Artificial Intelligent fields. In 1999 he moved to the US, worked at Capital One bank as a Capacity Planner. His first CMG.org paper was written and presented in 2001. The next one, "Exception Detection System Based on MASF Technique," won a Best Paper award at CMG'02 and was presented at UKCMG'03 in Oxford, England. He made other tech. presentations at IBM z/Series Expo, SPEC.org, Southern and Central Europe CMG and ran several workshops covering his original method of Anomaly and Change Point Detection (Perfomalist.com). Author of “Performance Anomaly Detection” class (at CMG.com). Worked 2 years as the Capacity team lead for IBM, worked for SunTrust Bank for 3 years and then at IBM for 3 years as Sr. IT Architect. Now he works for Capital One bank as IT Manager at the Cloud Engineering and since 2015 he is a member of CMG.org Board of Directors. Runs UT channel iTrubin