Application Performance Optimization

Slow applications lose users, revenue, and SEO rankings. We take a data-driven approach to performance — profiling every layer of your stack, identifying the highest-impact bottlenecks, and implementing solutions that deliver measurable improvements. No guesswork, just measured results.

• Full-Stack Profiling — Profile frontend rendering, network waterfalls, API response times, database queries, and infrastructure utilization to identify root causes.
• Frontend Performance — Optimize Core Web Vitals (LCP, FID, CLS), implement code splitting, lazy loading, image optimization, and critical rendering path improvements.
• Backend Optimization — Fix N+1 queries, implement caching layers, optimize serialization, and reduce API response times from seconds to milliseconds.
• Database Tuning — Analyze query plans, add strategic indexes, implement connection pooling, and optimize schema design for your access patterns.
• Infrastructure Right-Sizing — Match resources to workloads, implement auto-scaling, optimize container configurations, and reduce cloud costs.
• Monitoring & SLOs — Establish performance budgets, set up real-time monitoring, and create alerting that catches regressions before users notice.

We use Lighthouse, WebPageTest, and Chrome DevTools for frontend analysis; APM tools (DataDog, New Relic) for backend profiling; pg_stat_statements and EXPLAIN ANALYZE for database optimization; and k6 for load testing. Results are validated with real user monitoring.

Applications suffering from slow page loads, high API latency, poor Lighthouse scores, or degraded performance under load. Whether you're preparing for scale, fixing user complaints, or optimizing for SEO and conversion rates, we deliver measurable performance gains.