Sub-100ms APIs, 95+ Lighthouse scores, and Core Web Vitals in the green — baked into every layer and proven with numbers, not promises.
We profile before we touch anything. Then we fix the layers that matter — in the order that moves the metric.
Code splitting and lazy loading. Image optimization in WebP and AVIF. Critical CSS, font-loading strategy, JavaScript bundle reduction, and resource hints — preload, prefetch, preconnect.
A sub-100ms p95 target. Query optimization and indexing, N+1 elimination, multi-layer caching with Redis and the CDN, plus rate limiting and throttling that hold under burst.
Execution-plan analysis, index design and maintenance, connection pooling, read replicas and sharding, query caching, and materialized views where they earn their keep.
CDN, app, and database layers with deliberate invalidation. Redis, Memcached, Varnish. Edge caching, regional optimization, and cache warming so the first visitor isn't the slow one.
Real User Monitoring and synthetic checks. LCP, CLS, and TBT tracked against budgets, with CI gates and A/B tests so a regression never reaches production unnoticed.
Measure the baseline. Find the real bottleneck. Fix the 20% of changes that deliver 80% of the gain. Prove it, then guard it in CI.
Lighthouse, WebPageTest, and distributed tracing tell us where time is actually spent — database, network, or JavaScript. The same discipline runs under the behavioral-health platform we operate: Cadence answers live intake conversations on infrastructure tuned exactly this way.
Performance starts at the metal → Cloud InfrastructureRight-sized instances, edge caching, and auto-scaling — the layer where speed begins.
Explore Cloud Infrastructure → ArchitectureThroughput and latency tuning for microservices and event-driven pipelines under real load.
Explore Distributed Systems → ShipSites built for speed from day one — 95+ Lighthouse, sub-second loads.
In productionOur behavioral-health intake engine, tuned to respond in real time.
We target sub-100ms p95 response times. That comes from query optimization, eliminating N+1 patterns, indexing, connection pooling, and multi-layer caching with Redis and a CDN. We measure the baseline first, then prove the improvement.
Yes. We tune LCP under 2.5s, CLS under 0.1, and TBT under 200ms — through code splitting, image optimization, critical CSS, and font-loading strategy. Real User Monitoring confirms the gains in production, not just in the lab.
Performance budgets enforced in CI/CD block regressions before they ship, and real user monitoring alerts us when metrics degrade in production. Performance engineering is continuous, not a one-time pass.
We'll audit your current performance and hand you a roadmap with measurable targets, not vague promises.