Wednesday, August 26, 2026

My new patent - "Systems and Methods for Proactive Workload Management" #Patent #Innovation #CapacityManagement #CloudComputing #FinOps #PerformanceEngineering

I’m pleased to share that the USPTO has issued a Notice of Allowance for our patent application, “Systems and Methods for Proactive Workload Management” (US 2025/0383938 A1).

This means the application has been allowed and is now moving toward patent issuance.

The work focuses on proactive workload and capacity management using predictive analysis to anticipate resource needs and support better infrastructure decisions.

Many thanks to my co-inventor Jigneshkumar Shah and the Capital One patent team for their work and support.

#Patent #Innovation #CapacityManagement #CloudComputing #FinOps #PerformanceEngineering

Igor Trubin

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

Monday, August 17, 2026

Performance, Capacity, Cloud & FinOps Consulting — My Current Focus

IGOR A. TRUBIN

Performance, Capacity, Cloud & FinOps Consultant

TrubinIgor@gmail.com | 240-486-6170

Available for short-term consulting, advisory, assessments, and specialized project engagements

CONSULTING VALUE

Senior specialist in computer systems/application performance, enterprise capacity management, AWS migration and cloud capacity, FinOps rightsizing, and statistical exception-based modeling. Creator of SETDS for anomaly/outlier/change/trend detection and business-driver forecasting, with an implementation available through the Perfomalist web app and API.

CORE CONSULTING EXPERTISE

• Systems & Application Performance — performance analysis, troubleshooting, workload characterization, SLA analysis, stress/load-test support, JVM memory analysis and rightsizing.

• Data Center Capacity Management — compute, storage, database and application capacity; business-demand forecasting; exception-based reporting; capacity-risk assessment.

• AWS Migration & Cloud Capacity — on-prem to AWS sizing, workload forecasting, post-migration optimization, capacity limits/utilization, and exception-based cloud capacity management.

• FinOps & Rightsizing — AWS EC2, RDS, EBS, ECS/Fargate, Lambda, ElastiCache, GPU workloads, plus JVM memory rightsizing and custom cost/utilization analytics.

• SETDS / Statistical Analytics — anomaly, outlier, change-point and trend detection; seasonality; statistical process control; forecasting; business-driver correlation; proactive risk detection.

• Model Factory — large-scale automated model generation, evaluation and selection for business-driven infrastructure/database forecasting.

MODERN TOOLS & METHODS

Cloud / FinOps	AWS: EC2, RDS, EBS, ECS/Fargate, Lambda, ElastiCache, Auto Scaling, GPU; CloudHealth; custom rightsizing analytics
Analytics / BI	Python, Pandas, R, Amazon QuickSight; time-series/statistical modeling; queuing theory
AI-assisted work	Claude Code, Gemini, ChatGPT/OpenAI — intensive use for Python development, data analysis, modeling, automation, research, documentation and rapid prototyping
Observability	Datadog, New Relic, Splunk; APIs; Docker; cloud microservices

SELECTED PROOF POINTS

• Supported Capital One sizing and migration to AWS; developed exception-based cloud capacity approaches using SETDS, business drivers, AWS capacity data, and cloud optimization tooling.

• Engineering lead for OptiCloud cloud cost optimization/rightsizing; CMG IMPACT Innovation Award, 2022.

• SETDS deployed across 20,000+ distributed servers plus mainframe, database, virtualization and cloud environments.

• Led Model Factory work modeling 10,000+ servers and 1,000+ databases; granted U.S. patent on modeling computer resource metrics; related proactive cloud workload management patent pending.

• Developed predictive capacity models delivering more than $1M/year savings in a major enterprise environment.

BACKGROUND

Capital One Bank — IT Manager / Lead Data Engineer / Product Owner (2013–Present). Earlier enterprise consulting and capacity/performance roles with IBM Global Services, SunTrust, A.P. Møller–Mærsk and major financial-services clients.

Ph.D. in Robotics — St. Petersburg State Technical University | AWS Certified Cloud Practitioner & Solutions Architect | Author of 50+ technical papers/whitepapers