Measure
Capture what is happening through telemetry, field data, analytics, and observation.
Technical founder · performance engineer · systems builder
Building systems to understand how things behave.
I’m Kanmi Obasa. I build measurement systems, simulations, civic infrastructure, developer tools, and digital products that make complex behaviour measurable, testable, understandable, and actionable.
The through-line
Measure. Model. Understand. Act.
Across performance engineering, simulations, civic technology, and products, the work is to observe what is happening, represent it clearly, and test what to do next.
Model
Represent behaviour with software, simulations, experiments, and structured systems.
Understand
Turn signals into explanations, trade-offs, and useful intelligence.
Act
Build interventions and products, then measure what happened.
Current work
Different systems, connected by how they make behaviour visible.
TraceLayer
A systems and simulation company with a current commercial focus on performance engineering for revenue-critical digital experiences.
NigSim
An alpha Nigeria city-building and civic simulation built on Govern, modelling neighbourhoods, public services, resources, and trade-offs. Its mechanics and presentation are still evolving.
Browserapy
An editorial experiment combining browser behaviour, diagnostics, and storytelling. The browser is the patient, websites are the experiences it recounts, and drafts are reviewed before publication.
Civic.ng
Public civic information and infrastructure that help people inspect representation, legislation, and governance.
Nigerians.ca
A long-running Nigerian-Canadian community platform for practical resources, businesses, professionals, events, and connections.
Providence
An experimental decision-support concept for organizing evidence, current conditions, uncertainty, and possible actions. It is not deployed institutional infrastructure.
Engineering practice
Performance engineering is one way I learned to reason about systems.
Measure real behaviour, locate constraints, change the system, then verify the result. That discipline connects web performance work to the simulations, developer infrastructure, and decision systems I build.
Industry work remains unnamed where it is confidential. The public work here describes projects and tools without claiming unverified outcomes.
How I work
Start with reality. Preserve trust. Keep refining.
Planning
Understand the goal, the system, and the constraints before treating code as the answer.
Data
Separate what is known from what is assumed. Make the quality of the evidence visible.
Analysis
Find the pattern, investigate the anomaly, and translate technical signals into the language of the decision.
Refinement
Act when confidence is sufficient, measure what happens, and update the model.
Journey
From web performance to simulations and systems.
My path has moved through computer science, independent products, performance engineering, reliability, analytics, civic infrastructure, and simulation.
The recurring work is to understand how a system behaves, identify what matters, and build a way to test what should change.
Read the journeyCurrent direction
Current focus
Current work spans TraceLayer's performance and systems-intelligence practice, NigSim, TraceLayer Lab's Browserapy experiment, civic information, community infrastructure, and experimental decision systems.
Latest writing
Notes on performance, systems, and decisions.
Web Performance, Core Web Vitals and Vanity Metrics
Why user-focused performance measurement matters more than convenient metrics.
How to Use the CrUX Report Dashboard
A concise guide to turning Chrome User Experience data into useful performance decisions.
Choose the right place to start.
Need help with a revenue-critical digital system? TraceLayer handles performance engineering enquiries.
Interested in products, simulations, civic work, research, or writing? Contact Kanmi directly.