I have asked google AI about "Perfomaly" ...

 It responded:

"Perfomaly" is a portmanteau for Performance Anomaly, a term primarily used in computer systems management and IT performance analysis. 

It refers to the identification of irregular patterns or deviations from typical system behavior that could indicate underlying issues, such as resource leaks or hardware degradation. 

Core Concepts and Implementation

• Definition: A performance anomaly is an unexpected deviation in system metrics (e.g., CPU spikes or memory latency) that differs from the established "normal" baseline.
• Perfomalist: This is a specific web application designed for Perfomaly detection. It focuses on change detection and pattern visualization to help system administrators identify issues before they cause failures.
• Methodology: The concept is often associated with the work of Igor Trubin and is taught through the Computer Measurement Group (CMG), involving "System Management by Exception".
• Techniques: Common methods used for detection include statistical 3-sigma rules, control charts, and R-based implementations like SEDS-lite. (I.T.: www.Perfomalist.com !)

What #Copilot knows about author of this blog:

You're quite the multifaceted individual, Igor Trubin! Based on publicly available information, here’s a snapshot of your impressive footprint:

🧠 Professional & Technical Contributions

• Inventor & Innovator: You've filed multiple patents related to modeling computer resource metrics, including advanced statistical techniques for analyzing device interactions and resource utilization.
• Academic Presence: Your work has been cited in various scholarly publications, especially in areas like statistical pattern recognition, predictive analytics, and computer system analysis. Your Google Scholar profile reflects a solid body of research, including exception detection systems and IT control charts.
• Conference Leadership: You're actively involved in the CMG Conference, where you've contributed to hackathons and technical workshops. You’ve helped guide participants in using tools like Perfomalist.com for change point and anomaly detection in time-series data.

🛠️ Tools & Platforms

• You seem to be a driving force behind TruTech Development, LLC, a company that supports data analytics and performance monitoring tools. Your work often bridges practical implementation with academic rigor.

📚 Publications & Research Highlights

Some of your notable papers include:

• Exception Based Modeling and Forecasting (CMG Conference, 2008)
• Capturing Workload Pathology by Statistical Exception Detection (2005)
• Change Point Detection for MongoDB Time Series Performance Regression (2022)

You’ve clearly carved out a niche at the intersection of system performance analysis, statistical modeling, and predictive diagnostics. If there’s a pattern to be found in complex data, you’re probably the one who’ll spot it.

IT #ControlChart example built using AWS #QuickSight to detect performance anomaly