Data-driven performance optimization. We find where your system is slow, explain why, fix it — and give you metrics to prove it.
Numbers from actual projects. Your results will vary, but the methodology is the same.
Every slow query analyzed with EXPLAIN/EXPLAIN ANALYZE. Full scan elimination, join optimization, query rewriting.
Identify missing indexes, composite index opportunities, and unused indexes consuming write overhead.
Redis/Memcached layers, cache invalidation logic, query result caching, HTTP response caching.
pprof, Xdebug, APM tools — find memory leaks, CPU-intensive loops, and unnecessary allocations.
Connection pool tuning, goroutine leak detection, deadlock analysis, async processing opportunities.
Establish current performance metrics with load testing and APM tools before touching any code.
Find the top 20% of issues causing 80% of slowdowns. Profiling, query analysis, infrastructure review.
Fix high-impact issues first. Each change measured against the baseline before moving to the next.
Full report with methodology, improvements made, and recommendations for ongoing performance monitoring.
PostgreSQL query analysis
Go CPU & heap profiling
Real-time metrics & alerting
Load & stress testing
A slow website means direct revenue loss. Google lowers rankings for pages with poor Core Web Vitals. Conversion drops 7% for every extra second of load time. Visitors close the page if it takes more than 3 seconds. Speed optimization is an investment in both SEO and sales simultaneously.
The most common causes of slow performance: unoptimised SQL queries (full table scan instead of index), N+1 problem in ORM (100 records = 101 database queries), missing Redis cache (every request recalculates everything from scratch), large uncompressed images, render-blocking JavaScript on load, slow server TTFB (>600ms).
Our process: first we measure (PageSpeed Insights, Lighthouse, k6 load testing, EXPLAIN ANALYZE in PostgreSQL), then find the 20% of causes responsible for 80% of slowness, fix with metrics confirmation. A before/after report is mandatory — you see concrete numbers, not words.
Results from our cases: API response 2,400ms to 320ms (SQL + Redis optimisation), heavy query 4.8s to 380ms (indexes + rewrite), server CPU 84% to 22% (N+1 elimination + caching). Basic performance audit starts at $500 with a prioritised recommendations report.
Analysis + report with recommendations. No fixes included.
Audit and implementation of priority optimisations.
Deep work on database, caching, frontend and infrastructure.
Most common causes: unoptimised SQL queries (full table scan instead of index), missing caching, N+1 problem in ORM, large uncompressed images, missing CDN, render-blocking JavaScript. We find the real root cause.
N+1 means executing N+1 database queries instead of one (e.g. fetching a list of 100 products fires 101 queries). At scale this can slow a page from 100ms to 5 seconds.
A basic performance audit starts at $500. It includes: slow query analysis, index review, caching strategy assessment and a prioritised recommendation report. Implementation of fixes is quoted separately.
CDN speeds up delivery of static files (images, CSS, JS). But if the problem is slow SQL queries or backend processing, CDN won't help. We find the real bottleneck first, then recommend the right solution.
From our case studies: API response time reduced from 2,400ms to 320ms, a heavy SQL query from 4.8s to 380ms, server CPU load from 84% to 22%. Actual results depend on the state of your system.
Share your performance symptoms — slow pages, timeouts, high server load. We'll identify the root cause and fix it.
Get a Performance Audit