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
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