Performance Optimization

Every 100ms of latency costs you conversions. We’ve optimized e-commerce platforms that had become slow through years of accumulated features, integrations, and technical debt. The work involves profiling to find actual bottlenecks (not the ones everyone assumes), fixing the problems that matter, and sometimes accepting that certain features need to be reconsidered entirely.

We’ve delivered 500%+ performance improvements on production systems—not through magic, but through systematic analysis and focused optimization. Usually the biggest gains come from a handful of changes: database query optimization, caching strategies, removing unnecessary work from the critical path. The skill is knowing where to look and what changes will actually move the needle.

Platform Architecture

E-commerce platforms accumulate complexity: product catalogs, inventory management, pricing engines, checkout flows, payment integrations, order management, fulfillment, returns. Each piece needs to work reliably, and they all need to work together. We design architectures that keep this complexity manageable—clear boundaries between systems, well-defined interfaces, the ability to change one thing without breaking everything else.

We’ve also done the platform migrations: moving from monoliths to services, replacing legacy systems, re-platforming from one vendor to another. These are high-risk projects when they go wrong, and we approach them with appropriate caution—careful planning, incremental migration, extensive testing, and fallback plans.

Scaling for Peak Load

Black Friday, flash sales, viral moments—e-commerce traffic is spiky in ways that most software doesn’t have to handle. We’ve built systems that survive 10x traffic spikes without falling over: auto-scaling infrastructure, graceful degradation, the ability to shed load without losing orders. The work happens before peak season, in load testing and capacity planning, so that when the traffic hits, the system just handles it.

E-commerce was our first industry. We built platforms, optimized systems, dealt with the reality of traffic spikes and the pressure of revenue that stops when the site stops. That early experience shapes how we think about reliability, performance, and the business consequences of technical decisions.

We’ve worked across the e-commerce stack: frontend performance and user experience, backend systems and integrations, infrastructure and operations. We understand how the pieces fit together and where problems typically emerge as platforms grow.

These days, e-commerce technical work often intersects with other challenges we handle: legacy modernization when platforms have aged, due diligence when investors are evaluating e-commerce companies, architecture work when systems need to scale to the next level. The e-commerce context informs all of it.