Rescue & Scale
Performance Optimization
Investigate slow applications through measured baselines, bottleneck analysis, and scoped frontend, API, database, caching, and delivery improvements.
Benefits
What you get
Performance auditing and bottleneck identification
Database query optimization and indexing
Frontend optimization (code splitting, lazy loading)
API response time optimization
CDN setup and caching strategies
Core Web Vitals and SEO performance improvements
Features
What we deliver
Performance Audit
Comprehensive analysis using Lighthouse, WebPageTest, and profiling tools to identify all bottlenecks.
Database Optimization
Query optimization, indexing strategies, and caching measured against an agreed database baseline.
Frontend Performance
Code splitting, lazy loading, image optimization, and bundle size reduction for faster load times.
API Optimization
Response time optimization, caching strategies, and efficient data fetching patterns.
CDN & Caching
Content delivery network setup and smart caching strategies for global performance.
Performance Monitoring
Set up dashboards, alerting, and ongoing monitoring to maintain performance over time.
Process
How we work
Discovery
Requirements gathering and planning
Design
UI/UX design and prototyping
Development
Iterative sprints with demos
Launch
Deployment and support
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Startup Performance Issues
Fix slow MVP hurting user experience. Optimize queries, reduce bundle sizes, improve load times.
Scaling Problems
Apps slowing down as user base grows. Fix database bottlenecks and implement proper caching.
Enterprise Performance
Multi-region optimization, advanced caching, and infrastructure improvements for enterprise-grade speed.
SEO Performance
Improve Core Web Vitals and page experience without promising a ranking outcome.
FAQ
Frequently asked questions
No improvement range is promised before measurement. We establish a baseline, identify the limiting path, agree target metrics, and report the observed change after implementation.
Yes. We optimize frontend (code splitting, lazy loading, caching) and backend (database queries, API optimization, infrastructure).
We test each optimization in isolation, use staging environments, run automated tests, and monitor error rates. Changes are implemented incrementally.
Yes. We optimize LCP, CLS, and FID to improve Core Web Vitals scores, which improves SEO rankings and user experience.
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