Performance Engineering
Speed, efficiency, and reliability baked into every layer. Sub-100ms API responses, optimized database queries, and front-end performance tuning for measurable business impact.
What We Optimize
Front-End Performance
- Code splitting and lazy loading
- Image optimization (WebP, AVIF, responsive)
- Critical CSS and font loading strategies
- JavaScript bundle size reduction
- Resource hints (preload, prefetch, preconnect)
API Performance
- Response time optimization (<100ms target)
- Database query optimization and indexing
- N+1 query elimination
- Caching strategies (Redis, CDN, in-memory)
- Rate limiting and throttling
Database Optimization
- Query execution plan analysis
- Index design and maintenance
- Connection pooling and management
- Read replicas and sharding strategies
- Query caching and materialized views
Caching Architecture
- Multi-layer caching (CDN, app, database)
- Cache invalidation strategies
- Redis, Memcached, Varnish
- Edge caching and regional optimization
- Cache warming and pre-generation
Asset Optimization
- Image compression and format selection
- Video encoding and adaptive streaming
- Font subsetting and variable fonts
- SVG optimization and inline strategies
- CSS/JS minification and tree-shaking
Performance Monitoring
- Real User Monitoring (RUM)
- Synthetic monitoring and alerts
- Core Web Vitals tracking
- Performance budgets and CI checks
- A/B testing for performance changes
Performance Metrics We Target
Server response time—how quickly your server starts sending data.
When the first text or image appears on screen.
When the largest content element becomes visible (Core Web Vital).
When the page becomes fully interactive and responsive to input.
Visual stability score—lower is better (Core Web Vital).
Sum of all time periods where the main thread was blocked.
How quickly content is visually displayed during page load.
95th percentile response time for backend API calls.
Our Performance Engineering Process
Baseline Measurement
We start by measuring current performance across real devices, networks, and geographies. Lighthouse, WebPageTest, and custom instrumentation establish the baseline.
Bottleneck Identification
Chrome DevTools, profiling, and distributed tracing reveal where time is actually spent. Database queries? Network latency? JavaScript execution? We find the actual bottlenecks.
Optimization Strategy
Not all optimizations have equal impact. We prioritize changes by their performance-to-effort ratio, focusing on the 20% of changes that deliver 80% of improvements.
Implementation
Code-level changes, infrastructure tuning, caching strategies, and database optimization. Every change is tested and measured before deployment.
Continuous Monitoring
Performance budgets in CI/CD pipelines prevent regression. Real user monitoring alerts us when metrics degrade in production.
Iterative Improvement
Performance engineering is never "done." As traffic patterns change and new features ship, we continuously measure and optimize.
Tools We Use
Profiling & Analysis
Monitoring
Database
Caching
Load Testing
Image Optimization
Ready to Make Your Application Faster?
Let's audit your current performance and build a roadmap for measurable improvements.
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