Google found that a 100ms increase in page load costs measurable conversion loss. Your p95 API latency is 800ms. Your infrastructure bill has not been audited since the initial deployment. We fix both: speed for users, cost reduction for you.

7%drop in conversions for every 1-second delay in page load

8.4%more retail conversions from just 0.1s faster page loads

$100Mlost per hour by major platforms during performance outages

Performance is a feature users experience without naming. They do not say "this API responds in 50 milliseconds." They say "this product feels fast." And the products that feel fast convert at measurably higher rates, retain users longer, and generate fewer support tickets. The engineering that produces that feeling is specific and measurable: Core Web Vitals scores, p50/p95/p99 latency percentiles, time to first byte, largest contentful paint, interaction to next paint.

We tune the full stack. Frontend: bundle analysis and tree-shaking, code splitting by route, image format conversion (WebP/AVIF with fallbacks), critical CSS extraction, font loading strategies, and render performance auditing with specific recommendations per component. Backend: query plan analysis and index tuning, N+1 detection, connection pooling adjustments, Redis or Memcached caching with invalidation strategies, async job processing for non-blocking operations, and load balancing configuration. Each change is benchmarked before and after with automated performance regression testing in CI.

Infrastructure is the other half, and it is almost always neglected after the initial deployment. We audit cloud environments for right-sizing opportunities (instances running at 10-15% CPU utilization are common), auto-scaling policies that respond to measured traffic patterns rather than arbitrary thresholds, CDN configuration for static and dynamic content, reserved instance or savings plan recommendations, and the zombie resources that accumulate cost silently: load balancers, elastic IPs, unattached volumes, forgotten staging environments.

We have consistently found 30-50% cost reductions in infrastructure audits without any change in performance or reliability. Often the performance improves because the reconfigured stack is better matched to the workload. The same engineering that reduces latency for users reduces cost for you. Those objectives align far more often than they conflict.